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ahmedfgad /NumPyCNN

Star598

Building Convolutional Neural Networks From Scratch using NumPy

python data-science computer-vision numpy filter convnet cnn convolution convolutional-neural-networks relu conv-layer relu-layer pygad

UpdatedJun 19, 2023
Python

sichkar-valentyn /Neural_Networks_for_Computer_Vision

Star33

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

opencv convnet convolutional-layers edge-detection convolutional-neural-networks opencv-python cifar10 opencv3 cnn-architecture cifar10-structure cifar-10 opencv3-python cifartraining cnn-classification cnn-from-scratch convolution-filter relu-layer cnn-layers pooling-max-average cifar10-experiment

UpdatedDec 31, 2020
Jupyter Notebook

devildances /TwitterSentimentAnalysis

Star21

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

neural-network sklearn python3 twitter-streaming-api wordcloud nltk naive-bayes-classifier json-parser logistic-regression flask-web twitter-sentiment-analysis sastrawi-python indonesian-language trax wikimedia-data-dump gensim-word2vec softmax-layer relu-layer embedding-layer-keras

UpdatedSep 13, 2020
Jupyter Notebook

hiroyuki-kasai /SimpleDeepNetToolbox

Star16

Simple MATLAB toolbox for deep learning network: Version 1.0.3

machine-learning deep-neural-networks big-data deep-learning optimization matlab machine-learning-algorithms sgd convolutional-layers convolutional-neural-networks adam adagrad variance-reduction stochastic-gradient-descent forward-backward stochastic-optimization softmax-layer relu-layer sgd-optimizer sgd-momentum

UpdatedApr 16, 2019
MATLAB

luca-parisi /quantum_relu

Star16

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

deep-neural-networks deep-learning neural-network tensorflow quantum keras torch pytorch neural-networks activation keras-models keras-classification-models keras-neural-networks quantum-algorithms keras-tensorflow quantum-machine-learning relu relu-layer activation-functions relu-activation

UpdatedSep 2, 2024
Python

EPSOFT /layers

Star12

layers

tensorflow layers attention sequential flatten dense relu sequential-models relu-layer conv2d relu-activation maxpooling2d noisy-regularization globalmaxpooling1d

UpdatedDec 30, 2022
Jupyter Notebook

Prajwal10031999 /Facial-Expression-Recognition-Using-CNN

Star10

A facial emotion/expression recognition model created using CNN with Keras & Tensorflow

python deep-learning tensorflow numpy scikit-learn keras cnn pandas seaborn kaggle gpu-acceleration matplotlib facial-expression-recognition adam-optimizer relu-layer

UpdatedNov 8, 2020
Jupyter Notebook

avvineed /Convolutional-neural-network-Numpy

Star6

Convolutional Neural Network with just Numpy and no other MLLibs

python data-science computer-vision numpy filter convnet cnn convolution convolutional-neural-networks relu conv-layer relu-layer

UpdatedSep 16, 2018
Jupyter Notebook

aditya9211 /Super-Resolution-CNN

Star6

Super Resolution's the images by 3x using CNN

resolution machine-learning computer-vision tensorflow interpolation images cnn convolutional-networks convolutional-neural-networks cvpr tensorflow-models recognizing-handwritten-digits psnr upscaling he relu-layer kaiming mean-square-error resolution-cnn sub-sampling

UpdatedNov 28, 2017
Python

Ishan7390 /NN_fashMNIST

Star5

Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer

neural-network mnist-classification hidden-layers adam-optimizer softmax-classifier relu-layer cross-entropy-loss

UpdatedNov 13, 2019
Python

sharnam19 /Networks

Star5

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

neural-network mse batch-normalization convolutional-layers regularization convolutional-neural-networks gradient-descent affine-layer adagrad rmsprop xavier-initializer adam-optimizer softmax-layer relu-layer padding-layer loss-layers

UpdatedOct 27, 2017
Python

tahmid0007 /Low_Pass_ReLU

Star4

Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.

cnn classification data-augmentation relu-layer activation-functions robust-learning distorted-images image-corruption

UpdatedJun 23, 2021
MATLAB

mb11797 /Image_Recognition_Cat_vs_Non-Cat_Pytorch

Star4

A classifier to differentiate between Cat and Non-Cat Images

deep-neural-networks machine-learning-algorithms torch pytorch deep-learning-algorithms classification image-recognition back-propagation classifier-model sigmoid-function relu-layer cross-entropy-loss cat-vs-non-cat

UpdatedJun 28, 2018
Python

bhattbhavesh91 /why-is-relu-non-linear

Sponsor

Star2

A small walk-through to show why ReLU is non linear!

deep-learning neural-networks relu relu-layer activation-functions neural-networks-and-deep-learning activation-function relu-derivative

UpdatedMay 28, 2021
Jupyter Notebook

mahnoorsheikh16 /Node-Classification-with-Graph-Neural-Networks

Star2

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

deep-neural-networks deep-learning ensemble-learning regularization loss-functions relu-layer node-classification graphsage graph-neural-networks pytorch-implementation deep-infomax deep-graph-infomax gcn-architecture feature-normalization mpnn-model pytorch-tensors graph-attention-network softmax-function dense-array

UpdatedMay 12, 2025
Jupyter Notebook

anshul1004 /NeuralNetwork

Star2

Neural Network from scratch without any machine learning libraries

python machine-learning neural-network machine-learning-algorithms python3 error-handling neural-networks supervised-learning standardization data-preprocessing breast-cancer-wisconsin normalization machine-learning-scratch uci-machine-learning sigmoid tanh relu relu-layer neural-networks-from-scratch sigmoid-activation

UpdatedDec 13, 2019
Python

Mustufain /Convolution-Neural-Network-

Star2

Building Convolution Neural Networks from Scratch

numpy flatten softmax adam-optimizer dense relu-layer gradient-check convolution-neural-network signs-dataset max-pool

UpdatedJun 1, 2021
Python

hurkanugur /Car-Price-Predictor

Star2

This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.