benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 2,400 - Forks: 342

qubvel/classification_models

Classification models trained on ImageNet. Keras.

Language: Python - Size: 4.01 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1,227 - Forks: 310

wherobots/GeoTorchAI

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 502 - Forks: 37

junqiangchen/PytorchDeepLearing

Meidcal Image Segmentation Pytorch Version

Language: Python - Size: 7.91 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 287 - Forks: 45

minqi/hnatt

Train and visualize Hierarchical Attention Networks

Language: Python - Size: 232 KB - Last synced at: 7 months ago - Pushed at: almost 7 years ago - Stars: 203 - Forks: 35

dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Language: Python - Size: 4.54 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 160 - Forks: 59

stigma0617/VoVNet.pytorch

A pytorch implementation of VoVNet

Language: Python - Size: 8.79 KB - Last synced at: 24 days ago - Pushed at: almost 6 years ago - Stars: 133 - Forks: 27

yuanxiaosc/Multimodal-short-video-dataset-and-baseline-classification-model

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 128 - Forks: 36

gyunggyung/PyTorch

PyTorch tutorials A to Z

Language: Jupyter Notebook - Size: 202 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 119 - Forks: 55

ivclab/CPG

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Language: Python - Size: 19.3 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 118 - Forks: 22

axenhammer/CODAR

✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.

Language: CSS - Size: 37.9 MB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 106 - Forks: 11

chrisprasanna/Exercise_Recognition_AI

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

Language: Jupyter Notebook - Size: 154 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 94 - Forks: 15

kanchitank/Medibuddy-Smart-Disease-Predictor

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 27

NVIDIA-AI-IOT/ros2_torch_trt

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

Language: Python - Size: 4.78 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 88 - Forks: 14

cjekel/tindetheus

Build personalized machine learning models for Tinder using Python

Language: Python - Size: 2.5 MB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 87 - Forks: 21

sukhitashvili/violence-detection

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 80 - Forks: 24

Inf-imagine/Sentry

[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images

Size: 33.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 74 - Forks: 2

SachaIZADI/Seven-Segment-OCR

Computer vision project to automatically recognize digits characters in a seven-segments display

Language: Jupyter Notebook - Size: 66.3 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 69 - Forks: 27

aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 18

nghuyong/bert-classification-tf-serving

Use BERT to train a classification model and deploy the model by tensorflow serving

Language: Python - Size: 1.73 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 50 - Forks: 23

ecm200/caltech_birds

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Language: Jupyter Notebook - Size: 282 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 45 - Forks: 10

souravs17031999/Retinal_blindness_detection_Pytorch

Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 22

odubno/gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

Language: Python - Size: 16.1 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 21

majkamichal/naivebayes

High performance implementation of the Naive Bayes algorithm in R

Language: R - Size: 24.1 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 37 - Forks: 5

Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 9

DSC-JSS-NOIDA/ML-Hub

A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 34

yaojie-shen/DDoS-DeepLearning-Approach 📦

Language: Python - Size: 185 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 6

Camaltra/this-is-not-real-aerial-imagery

Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image

Language: Python - Size: 332 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 4

mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC

The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

Language: Jupyter Notebook - Size: 4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 32 - Forks: 15

Hulkido/RCNN

FULL Implementation of RCNN from scratch

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 12

asalavaty/influential

Identification and Classification of the Most Influential Nodes

Language: R - Size: 3.63 MB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 29 - Forks: 3

AlexTS1980/COVID-CT-Mask-Net

Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.

Language: Python - Size: 4.84 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 14

lucaslattari/MachineLearningSeries

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 48

esharma3/myers-briggs-personality-prediction

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Language: Jupyter Notebook - Size: 136 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 20

chicolucio/ifood-case-data-analyst

Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 23

guidelabs/infembed

Find the samples, in the test data, on which your (generative) model makes mistakes.

Language: Python - Size: 4.73 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 25 - Forks: 1

trinker/termco

Regular Expression Counts of Terms and Substrings

Language: R - Size: 6.07 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 5

Data-Science-Community-SRM/Forecasting-US-Elections

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 15

emuell/AFEC

Cross platform audio feature extraction and sound classification tool

Language: C++ - Size: 128 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 22 - Forks: 4

KingArthur000/Electrical-Fault-detection-and-classification

A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemented using sklearn and an appropriate model was selected as the end model for each problem.

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 13

thieu1995/MHA-FS 📦

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

Language: Python - Size: 2.51 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 7

mafda/ml_with_fastapi_and_streamlit

Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

Language: Python - Size: 32 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 6

TomLin/Playground

store my personal project

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 21 - Forks: 34

vatsalsaglani/MultiLabelClassifier

Multi-label Classification using PyTorch on the CelebA dataset.

Language: Jupyter Notebook - Size: 498 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 14

chicago-joe/Python-ML-for-Financial-Applications

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Language: Python - Size: 7.06 MB - Last synced at: 8 days ago - Pushed at: about 6 years ago - Stars: 19 - Forks: 6

lucastsutsui/EmbML

A tool to support using classification models in low-power and microcontroller-based embedded systems.

Language: Python - Size: 178 KB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 1

datascisteven/Automated-Hate-Tweet-Detection

Developing a classification model to detect hate tweets ready for deployment using various NLP techniques

Language: Jupyter Notebook - Size: 186 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 7

guoyaohua/BERT-Classifier

A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

Language: Python - Size: 1.25 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 4

Mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Language: C++ - Size: 20.7 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 2

dnum-mi/basegun

Web app for identifying a firearm based on a picture

Language: Vue - Size: 172 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 16 - Forks: 0

ShaonBhattaShuvo/Deep-Learning-Workshop

The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.

Language: Python - Size: 216 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 21

tempdata73/tic-tac-toe

Play Tic Tac Toe against the computer using OpenCV and Keras

Language: Python - Size: 18.7 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 2

tomtung/craftml-rs 📦

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

Language: Rust - Size: 47.9 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 3

Sakib1263/VGG-1D-2D-Tensorflow-Keras

Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 2

abdullah-al-masud/msdlib

This is a custom library for data processing, visualization and machine learning tools.

Language: Python - Size: 51.5 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 13 - Forks: 2

vivekkhimani/federated_learning_pysyft

A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.

Language: Python - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 0

Aurora-Network-Global/sdg-queries

This repository contains machine readable (xml) search queries (crafted from a controlled vocabulary), for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs). We invite enyone to improve the SDG queries further in a co-creation process.

Language: XSLT - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 10

marcosPlaza/Ground-based-Cloud-Classification-with-Deep-Learning

Implementation of different Deep Learning algorithms to solve the problem of cloud classification, using images taken from the ground.

Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 0

dumitrux/architectural-style-recognition

ArchitecturalStyle Recognition is a image classifier of 25 different architectural styles, using deep learning.

Language: Jupyter Notebook - Size: 133 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 4

rohilrg/COVID19-xray-classifier

A classifier that takes X-RAY or CT-SCAN to classify positive or negative COVID19 with 99% accuracy, 97% recall (macro avg) and 91% precision (macro avg).

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 4

Chinmayrane16/Titanic-Survival-In-Depth-Analysis

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

Language: Jupyter Notebook - Size: 510 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 5

bkataru/galaxy-classifier

A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.

Language: Python - Size: 181 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

Thomas-George-T/Prediciting-Hits-on-Spotify

Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 0

kudoabhijeet/FoundationalML

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: 21 days ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 3

naynco/nayn.classifier

News Classification in Turkish

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1

indrapaul824/Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3

m0h1t98/Disease-prediction-using-ML

Disease prediction using Machine Learning. This is a classification problem. The objective of this project was to classify the disease based on the symptoms.

Language: Python - Size: 2.4 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 2

DelTA-Lab-IITK/CD3A

Code for Curriculum based Dropout Discriminator for Domain Adaptation(CD3A), BMVC, 2019

Language: Lua - Size: 2.53 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 4

anshul1004/DecisionTree

Decision Tree classifier from scratch without any machine learning libraries

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6

badripatro/MDN-VQG

Size: 3.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 3

Shikhar-S/EvolvedTransformer

Contains pytorch implementation of Transformer and EvolvedTransformer architectures. WIP

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 4

asaficontact/project_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

juvchan/amazon-sagemaker-tensorflow-custom-containers

This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.

Language: Jupyter Notebook - Size: 8.73 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 5

Sarthak-1408/Indian-Food-Classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

Language: Jupyter Notebook - Size: 14 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 2

ishaanjav/HackRice-X-Retinopathy-App

Predicting diabetic retinopathy from eye fundus images using computer vision.

Language: Java - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 4

Nicolik/MESCnn

MESCnn: MESC classification by neural network

Language: Python - Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

AlexanderShulzhenko/Implicit-Manifold-Gaussian-Processes

Model based on Graph Gaussian Processes and following usage examples

Language: Jupyter Notebook - Size: 949 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

leffff/stackboost

Open source gradient boosting library

Language: Python - Size: 101 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

partoftheorigin/predict-blog-author-features

Predicts gender, age, label, and zodiac sign of the writer from the given text.

Language: Python - Size: 56.6 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

IChowdhury01/Quantum-NLP-Circuit-Visualizer-and-Text-Classifier

An API that uses the Quantum NLP library lambeq to build and visualize quantum circuits and train a text classifier with 93% accuracy

Language: Python - Size: 283 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 4

noraj/XSS-classification-model

:speech_balloon: XSS classification model - Types of Cross-Site Scripting

Size: 779 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

asalavaty/python-influential

Identification and Classification of the Most Influential Nodes

Language: Python - Size: 405 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

bszek213/ml_mlb

Deep Learning to Predict MLB Outcomes

Language: Python - Size: 85.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

Thomasjkeel/Trip_Purpose_Classification

Project looking at the classification of trip purpose within a collection of GPS traces collected from a mobile app travel survey

Language: Jupyter Notebook - Size: 83 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 1

zggg1p/MINIST-Dataset-Classification

This task focuses on training the MINIST dataset to get a feel for the differences between fully connected networks, neural networks, and the effects of different activation functions, training techniques (BN, Dropout, and L2 regularization) on the network. 本次任务主要是通过对MINIST数据集进行训练来感受全连接网络、神经网络的差异，以及不同激活函数、训练技巧（BN，Dropout以及L2正则化）对网络的影响。

Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

Bhadreshwara/SignLanguageDetection

Machine Learning Based Detection Of ASL(American Sign Language) Gestures

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 1

RizwanMunawar/Data-analysis-on-csv-datasets-machine-learning-

Data Analysis and model building on CSV datasets.

Language: Jupyter Notebook - Size: 637 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

arunabellgutteramesh/benign-phishing-url-classification-using-whois-and-lexical-features

To identify and extract features from URL that help classify URLs into benign/phishing and train an ML model with these features for classification.

Language: Jupyter Notebook - Size: 7.89 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 6

AAndonio/Unsupervised-Feature-Selection-NDFS

Unsupervised Feature Selection NDFS is a project that shows how to select features with NDFS algorithm

Language: Python - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 0

S-B-Iqbal/German-Credit-Data-Analysis

Some old code.

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 3

shreyavshetty/DiabetesDetectionApp

A web application for diabetes detection

Language: JavaScript - Size: 1.44 MB - Last synced at: 10 days ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

Ozzy-ZY/Ai_project_1_SentimentAnalysis

a small Sentiment analysis Deep learning model that classifies movies Reviews either Positive or Negative using neural networks layers

Language: Python - Size: 39 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

Fgazzelloni/oregonfrogs

Dataset containing radio frequencies, geo-locations, and habitat types for Oregon frogs

Language: R - Size: 4.96 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0

hasansust32/Phishing_Detection_Using_Machine_Learning

This is a completely machine-learning based task. We used a dataset from kaggle with 1154 website details with 32 features. More significantly, we experimented with a considerable number of machine learningmethods on actual phishing datasets and against various criteria. We identify phishing websites using six distinct machine learningclassification methods. This research obtained a maximumachievable accuracy rate of 97.17 percent for the Random Forestrule and 94.75 percent for the Gradient Boost Classifier. The Provisioningaccuracy is 94.69 percent with the Decision Tree classifier, 92.76 percent with Logistic Regression, 60.45 percent with KNN, and 56.04 percent with SVM.

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0

repetere/jsonstack-model

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

Language: TypeScript - Size: 11.5 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

dnth/huggingface-timm-mobile-blogpost

Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOS

Language: Dart - Size: 16 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 5

giocoal/credit-card-fraud-detection-KNIME

Credit Card Fraud Detection using different classifiers (RF, SVM, Naive Bayes, Logistic Regression, ...) on KNIME platform.

Language: Python - Size: 64.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

allanphil/Credit-Score-Classification

In this project, I used a dataset containing financial information and personal details of individuals to build and evaluate machine learning models to predict their credit scores. The credit score is an important metric that determines an individual's creditworthiness and ability to obtain loans.

Language: Jupyter Notebook - Size: 198 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

Bennyhwanggggg/Food-Classifier-Server

Food Image Classifier Server built using Tensorflow.js and Express.js

Language: JavaScript - Size: 4.74 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

Tushar-ml/DarkNeuron

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

Language: Jupyter Notebook - Size: 137 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3