Topic: "supervised-learning"
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Language: Jupyter Notebook - Size: 42.8 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 21,722 - Forks: 5,539

afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Size: 36.6 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 17,985 - Forks: 3,999

liuruoze/EasyPR
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
Language: C++ - Size: 186 MB - Last synced at: 30 days ago - Pushed at: about 1 year ago - Stars: 6,391 - Forks: 2,499

rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Language: Python - Size: 94 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 5,023 - Forks: 881

ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Language: Python - Size: 8.11 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 3,514 - Forks: 759

benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Language: Python - Size: 28 MB - Last synced at: 30 days ago - Pushed at: 11 months ago - Stars: 2,226 - Forks: 252

Lightning-Universe/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Language: Python - Size: 5.42 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1,730 - Forks: 320

google/uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Language: Python - Size: 107 MB - Last synced at: 22 days ago - Pushed at: 9 months ago - Stars: 1,574 - Forks: 321

csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Language: Jupyter Notebook - Size: 162 MB - Last synced at: 4 days ago - Pushed at: 18 days ago - Stars: 1,467 - Forks: 125

code-kern-ai/refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Language: Python - Size: 3.54 MB - Last synced at: 30 days ago - Pushed at: 6 months ago - Stars: 1,438 - Forks: 71

scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
Language: Jupyter Notebook - Size: 7.53 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 1,438 - Forks: 432

Ceruleanacg/Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Language: Python - Size: 31.1 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 1,379 - Forks: 340

Minqi824/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Language: Python - Size: 2.01 GB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 940 - Forks: 141

mrsaeeddev/free-ai-resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Size: 482 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 895 - Forks: 194

ikergarcia1996/Self-Driving-Car-in-Video-Games
A deep neural network that learns to drive in video games
Language: Python - Size: 160 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 761 - Forks: 108

davidsbatista/Annotated-Semantic-Relationships-Datasets
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
Size: 51.1 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 682 - Forks: 132

achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
Size: 156 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 609 - Forks: 250

Sergio0694/NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Language: C# - Size: 13.1 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 559 - Forks: 87

gitanat/simple-ocr-opencv
A simple python OCR engine using opencv
Language: Python - Size: 559 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 532 - Forks: 178

vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
Language: Python - Size: 40.4 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 487 - Forks: 63

alexklwong/awesome-state-of-depth-completion
Current state of supervised and unsupervised depth completion methods
Size: 16.2 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 463 - Forks: 24

madhug-nadig/Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
Language: Python - Size: 187 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 374 - Forks: 322

PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
Language: Python - Size: 72.6 MB - Last synced at: 1 day ago - Pushed at: 11 days ago - Stars: 372 - Forks: 214

yhyu13/AlphaGOZero-python-tensorflow
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Language: Python - Size: 185 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 341 - Forks: 113

liuruoze/mini-AlphaStar
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.
Language: Python - Size: 908 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 333 - Forks: 57

phurwicz/hover
:speedboat: Label data at scale. Fun and precision included.
Language: Python - Size: 294 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 327 - Forks: 19

GT-RIPL/L2C
Learning to Cluster. A deep clustering strategy.
Language: Python - Size: 431 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 315 - Forks: 49

toodef/neural-pipeline 📦
Neural networks training pipeline based on PyTorch
Language: Python - Size: 13.6 MB - Last synced at: about 1 hour ago - Pushed at: about 5 years ago - Stars: 312 - Forks: 24

diffusion-classifier/diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Language: Python - Size: 736 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 308 - Forks: 16

AFAgarap/cnn-svm 📦
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Language: Python - Size: 63.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 307 - Forks: 125

jxareas/Machine-Learning-Notebooks
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 300 - Forks: 111

jayshah19949596/Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 291 - Forks: 143

a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Language: Jupyter Notebook - Size: 64.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 286 - Forks: 114

frontbenchHQ/Data-Science-Free
Free Resources For Data Science created by Shubham Kumar
Size: 1.57 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 267 - Forks: 173

dvlab-research/Parametric-Contrastive-Learning
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Language: Python - Size: 18.4 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 251 - Forks: 32

wjn1996/HugNLP
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
Language: Python - Size: 3.71 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 247 - Forks: 13

jaswinder9051998/zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Language: Python - Size: 6.75 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 245 - Forks: 46

AdrianAntico/AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Language: R - Size: 804 MB - Last synced at: 28 days ago - Pushed at: about 2 months ago - Stars: 243 - Forks: 43

Jean-njoroge/Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 237 - Forks: 127

koalaverse/homlr
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Language: CSS - Size: 308 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 232 - Forks: 88

RTIInternational/SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
Language: Python - Size: 129 MB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 228 - Forks: 32

hukenovs/coursera_ml_da_specialization
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Language: Jupyter Notebook - Size: 370 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 205 - Forks: 75

kevinlin311tw/Caffe-DeepBinaryCode
Supervised Semantics-preserving Deep Hashing (TPAMI18)
Language: C++ - Size: 102 MB - Last synced at: 11 months ago - Pushed at: over 8 years ago - Stars: 205 - Forks: 83

zilongzhong/SSRN
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Language: Python - Size: 48.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 204 - Forks: 71

Laurae2/Laurae
Advanced High Performance Data Science Toolbox for R by Laurae
Language: R - Size: 579 KB - Last synced at: 7 months ago - Pushed at: about 8 years ago - Stars: 204 - Forks: 50

gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
Language: Jupyter Notebook - Size: 260 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 198 - Forks: 38

giacbrd/ShallowLearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Language: Python - Size: 537 KB - Last synced at: 8 days ago - Pushed at: almost 8 years ago - Stars: 198 - Forks: 29

RayDean/MachineLearning
【火炉炼AI】-机器学习系列文章
Language: Jupyter Notebook - Size: 88 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 196 - Forks: 88

snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 193 - Forks: 103

quocviethere/Coursera-Machine-Learning-Specialization
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Language: Jupyter Notebook - Size: 6.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 183 - Forks: 139

Mogeng/IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
Language: Python - Size: 1.03 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 167 - Forks: 36

AFAgarap/malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Language: Python - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 154 - Forks: 78

tirthajyoti/Interactive_Machine_Learning
IPython widgets, interactive plots, interactive machine learning
Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 151 - Forks: 82

mlr-org/mlr3proba
Probabilistic Learning for mlr3
Language: R - Size: 23.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 137 - Forks: 21

AFAgarap/gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Language: Python - Size: 98 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 135 - Forks: 38

wgcban/SemiCD
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
Language: Python - Size: 2.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 134 - Forks: 19

SparshaSaha/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network
Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python
Language: Python - Size: 196 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 134 - Forks: 57

rickiepark/python-machine-learning-book-3rd-edition
<머신 러닝 교과서 3판>의 코드 저장소
Language: Jupyter Notebook - Size: 288 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 122 - Forks: 88

chayandatta/Heart_disease_prediction
Heart Disease prediction using 5 algorithms
Language: Jupyter Notebook - Size: 12 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 118 - Forks: 42

mfbalin/Concrete-Autoencoders
Language: Jupyter Notebook - Size: 356 KB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 118 - Forks: 31

yconst/YCML 📦
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Language: Objective-C - Size: 669 KB - Last synced at: about 2 months ago - Pushed at: over 8 years ago - Stars: 116 - Forks: 21

felixriese/susi
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Language: Python - Size: 3.71 MB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 112 - Forks: 22

chen0040/keras-video-classifier
Keras implementation of video classifier
Language: Python - Size: 230 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 111 - Forks: 52

christopherjenness/ML-lib
An extensive machine learning library, made from scratch (Python).
Language: Python - Size: 134 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 107 - Forks: 19

asingh33/SupervisedChromeTrex
In this project I will try to train Chrome's Trex/Dino character to learn to play by looking my gameplay (Supervised).
Language: Python - Size: 2.08 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 102 - Forks: 23

php-ai/php-mlx
PHP-MLX (php-ml next generation) - Machine Learning library for PHP
Size: 2.93 KB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 97 - Forks: 10

Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
Language: Python - Size: 3.55 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 96 - Forks: 43

azminewasi/Awesome-Graph-Research-ICLR2024
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Size: 1.93 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 95 - Forks: 6

billpsomas/simpool
This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"
Language: Python - Size: 4.62 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 92 - Forks: 2

tomtung/omikuji
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Language: Rust - Size: 22.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 88 - Forks: 11

ilia10000/LO-Shot
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 86 - Forks: 13

nikp06/subwAI
Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
Language: Python - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 86 - Forks: 20

khanhnamle1994/machine-learning
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Language: Matlab - Size: 121 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 86 - Forks: 46

zyxue/sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Language: Jupyter Notebook - Size: 74.1 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 82 - Forks: 29

GT-RIPL/robo-vln
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Language: Python - Size: 33.3 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 78 - Forks: 8

slalit360/Data-Science-ML-Cheat-Sheet-Books-Oreilly-
Data Science + ML Cheat Sheet collection by me
Language: Jupyter Notebook - Size: 208 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 78 - Forks: 48

UrbsLab/STREAMLINE
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
Language: Jupyter Notebook - Size: 595 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 76 - Forks: 11

EscVM/RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Language: Jupyter Notebook - Size: 707 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 73 - Forks: 18

lucylow/Deep-Learning-Mahjong---
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Language: JavaScript - Size: 476 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 72 - Forks: 10

jaybutera/tetrisRL
A Tetris environment to train machine learning agents
Language: Python - Size: 206 KB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 68 - Forks: 19

Labo-Lacourse/stepmix
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
Language: Python - Size: 469 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 67 - Forks: 4

PJalgotrader/ML-USU-SP21
ECN 5090- Machine Learning in Economics and Finance (Python)
Language: HTML - Size: 60.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 107

mjpyeon/wavenet-classifier
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
Language: Python - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 57 - Forks: 11

AFAgarap/wisconsin-breast-cancer 📦
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Language: Python - Size: 7.57 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 56 - Forks: 26

erachelson/MLclass
My main Machine Learning class
Language: Jupyter Notebook - Size: 196 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 132

tayebiarasteh/PV_defect_detection
Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
Language: Python - Size: 64.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 55 - Forks: 10

shellysheynin/A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection
Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
Language: Python - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 55 - Forks: 13

reddyprasade/Machine-Learning-with-Scikit-Learn-Python-3.x
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).
Language: Jupyter Notebook - Size: 72.8 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 55 - Forks: 25

PaulingLiu/scibet
A portable and fast single cell type identifier
Language: R - Size: 80.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 54 - Forks: 12

MR-HosseinzadehTaher/BenchmarkTransferLearning
Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis
Language: Python - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 53 - Forks: 15

marinavillaschi/ML-AndrewNg
Notebooks from the Machine Learning Specialization
Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 72

abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 50 - Forks: 33

KhiopsML/khiops
Khiops is an AutoML suite for supervised and unsupervised learning
Language: C++ - Size: 18.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 48 - Forks: 6

kblomdahl/dream-go
Artificial go player based on reinforcement and supervised learning
Language: Rust - Size: 4.74 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 47 - Forks: 8

Ztrimus/speech-emotion-recognition
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 46 - Forks: 28

umutkcbs/hope-autonomous-driving
Autonomous Driving project for Euro Truck Simulator 2 Running on Real World
Language: Python - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 46 - Forks: 6

VincentGranville/Statistical-Optimization
Statistical optimization for AI and machine learning
Language: Python - Size: 22.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 45 - Forks: 13

SigmaMonstR/data-science
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
Language: HTML - Size: 1.1 GB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 45 - Forks: 22

saizhang1/Analytic-Projects-in-Python-EDA
There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.
Language: Jupyter Notebook - Size: 5.77 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 16

DragonComputer/Cerebrum
Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data
Language: Python - Size: 11.7 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 44 - Forks: 19
