abhijitbendale/OSDN

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

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gyrdym/ml_algo

Machine learning algorithms in Dart programming language

Language: Dart - Size: 9.49 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 192 - Forks: 31

myazi/myLearn

machine learning algorithm

Language: C++ - Size: 38 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 163 - Forks: 63

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

hiroyuki-kasai/GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

Language: Matlab - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 56 - Forks: 25

jerett/Keras-CIFAR10

practice on CIFAR10 with Keras

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VuBacktracking/Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

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SSQ/Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

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JYNi16/Deeplearning-Beginner

Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework

Language: Python - Size: 161 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 3

waybarrios/TensorFlow_CNN

Example CNN on CIFAR-10 classification

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priyanka-kasture/Handwritten-Digit-Recognizer

Handwritten Digit Recognition using Softmax Regression in Python

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pkluber/MoS-Tensorflow

Mixture of Softmaxes implementation in Tensorflow

Language: Python - Size: 11.7 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

trqminh/softmax-regression

get familiar with pytorch

Language: Python - Size: 97.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

sunnysoni97/hand_reader

Handwriting Recognition Software (Python/AI/kivy)

Language: Python - Size: 11.1 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0

williamd4112/simple-linear-classification

A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)

Language: Python - Size: 7.21 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 2

lochielochie/open-deep-research

An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl

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arnejad/multiclass-classification

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

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xup6fup/MxNetR-examples

This project provides a series of MxNetR example for letting readers to get started quickly.

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Armin-Abdollahi/Iris-Flower-Classification

Language: Jupyter Notebook - Size: 709 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

Language: Jupyter Notebook - Size: 10 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

Naman-ntc/CIFAR-10-Recognition

Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy

Language: Python - Size: 5.54 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

daodavid/maths-behind-ML

Maths behind machine learning and some implementations from scratch.

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itsatefe/Pattern-Recognition

Statistical Pattern Recognition (classic machine learning)

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mrcaidev/statistic-learning-and-pattern-recognition 📦

电子科技大学 2020 级《统计学习与模式识别》课程代码。

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giannhskp/Artificial-Intelligence-II_Natural-Language-Processing

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

Language: Jupyter Notebook - Size: 6.81 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

amanraj209/CIFAR10_Models

Language: Python - Size: 28.3 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

DhairyaC/Customer-Churn-Prediction

Analyze, visualize and predict customer churn using Machine Learning

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Sagarnandeshwar/Naive_Bayes_And_Logistic_Regression_For_NLP

Applied Machine Learning (COMP 551) Project

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daodavid/classic-ML

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

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vectornguyen76/machine-learning-regression

Machine Learning Regression with Linear Regression, Logistic Regression and Softmax Regression

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MediaBilly/Twitter-Covid-Vaccination-Data-Sentiment-Analysis

Sentiment analysis on tweets about covid19 vaccinations with different methods.

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junghyun397/PyMNIST

MNIST Softmax regression implemion using only pure Python

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tate8/softmax-regression

Softmax Regression from scratch. MNIST dataset

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devil-cyber/MNIST-Fashion-Classification

MNIST Fashion Classifications using softmax regression

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dlee0528/Iris-Species-Machine-Learning

To classify iris plants into three species and make predictions using Softmax Regression with a dataset

Language: Jupyter Notebook - Size: 438 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

juanjoneri/Learning-Machine-Learning

Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 2

techbd123/DigitRecognition

Language: Python - Size: 84.9 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1

byelipk/learning-iris

Language: Python - Size: 127 KB - Last synced at: 10 months ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 0

josephcheel/42-dslr

This project implements logistic regression from scratch to classify students into Hogwarts houses based on their academic data. It includes data preprocessing, training the model, making predictions, and evaluating accuracy. Data visualization is used to explore the dataset and detect patterns. The final output demonstrates the model’s accuracy.

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tdattm/wisconsin-breast-cancer-classification

Dự án này sử dụng các thuật toán machine learning bao gồm học có giám sát (KNN, hồi quy Logistic, SVM,...), học không giám sát (PCA, K-means) và các kỹ thuật giảm chiều để phân loại ung thư vú dựa trên bộ dữ liệu Wisconsin. Phù hợp để học tập về khoa học dữ liệu và ứng dụng thực tế trong phân tích dữ liệu y tế..

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CryAndRRich/npmod

Building a simple deep learning framework and some machine learning/deep learning models from scratch (pure Numpy and Pytorch)

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drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

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ranimeshehata/Softmax-Regression-on-MNIST

A PyTorch-based project for classifying the MNIST dataset using Softmax Regression, including training, validation, results and visualization.

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AmbreenMahhoor/Logistic-Regression

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pritamgouda11/Contrastive-Representation

This project has a comprehensive exploration of two key topics: Softmax Regression and Contrastive Representation Learning.

Language: Python - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

nisharathod231/Contrastive-Representation

This project has a comprehensive exploration of two key topics: Softmax Regression and Contrastive Representation Learning. The dataset used for this project is the CIFAR-10 dataset, which can be accessed by link given below

Language: Python - Size: 68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ayushtan123/Multiclass-Classification-using-Softmax

This project utilizes neural networks to recognize handwritten digits (0-9) through multiclass classification, employing ReLU activation and Softmax function for accurate predictions.

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zafarrafii/Deep-Learning

Deep Learning basics in Python using NumPy, PyTorch, and TensorFlow/Keras: linear regression, softmax regression, multilayer perceptron, etc.

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maftouhi/Handwritten-Digit-Recognition

A model to classify images of handwritten digits using Multiclass Logistic Regression

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DerekEgenti/Machine_Learning-_Tasks

A list of machine leaarning tasks carried out in a set of series spread across 3 Colab Notebooks

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super-m-a-n/covid19-vaccine-tweets-sentiment-analysis

Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets

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BrighentiPatrik/Model-for-predicting-student-graduation-grade

Machine Learning Model to predict student graduation grade

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coderconroy/softmax-mnist-classifier

Softmax Regression applied to MNIST Handwritten Dataset

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pspanoudakis/Machine-Learning-NLP

NLP 🤖 📖 projects on Vaccine Sentiment Classification 💉 and Question Answering 💬

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BenjaminRueling/Iris-Classification

Iris Classification

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jackyan540/cs181-homework2

Spring 2021 Machine Learning (CS 181) Homework 2

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MH-Farhadi/Stochastic-pattern-recognition

Language: Python - Size: 1.77 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

MostafaToema/Machine-Learning-Algorithms-Implementation

Implementation from scratch supervised and unsupervised ML algorithms.

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lovesaroha/Softmax-Regression

The softmax function  or normalized exponential function  is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.

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amit-timalsina/Details-of-Training-Models

This repo is about the details of Machine Learning models which we often use using Scikit Learn.

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iGeralt/Deep-Learning-Course-Sem-7

Deep Learning lab codes and study material of sem 7.

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McTechie/tensorFlow-dev-algorithms

Deep Learning Algorithms and Neural Networks implemented in TensorFlow using Google Colab!

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AnoushkaVyas/MNIST-Data-Set-Advanced-Classification

MNIST Data set classification using more complex methods

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ayushianan/expression_analysis

A softmax regression model to classify images as neutral or smiling by different facial expressions.

Language: Jupyter Notebook - Size: 997 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

KangboLu/TensorFlow-HelloWorld

:blush: TensorFlow Hello World Program

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

mayankmahavar111/Text-Classification

Language: Python - Size: 8.54 MB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

mmarouen/SVM_Framework

Support vector machines flexible framework

Language: R - Size: 85 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

mmarouen/SVM_Framework_py

Flexible SVM framework implementation

Language: Python - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

may-/rho-saga

SAGA with Perturbations

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amanraj209/MNIST-Tensorflow

Language: Python - Size: 8.79 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

arthurpessoa/tensorflow-handwriten-digits

Tensorflow simple project using MNIST dataset and softmax-regression

Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

byelipk/deeper-mnist

Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.

Language: Python - Size: 10.8 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0