44 Open Source Dropout Software Projects
Free and open source dropout code projects including engines, APIs, generators, and tools.
Satania.moe 459 ⭐
Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you
Dropblock 430 ⭐
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Tensorflow Mnist Cnn 174 ⭐
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Thtrieu Essence 68 ⭐
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Icellr 69 ⭐
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq and CITE-seq).
Cifar10cnnflask 60 ⭐
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Machine Learning In Python Workshop 59 ⭐
My workshop on machine learning using python language to implement different algorithms
Variational_dropout 39 ⭐
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
Variance Networks 38 ⭐
Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
Cplxmodule 35 ⭐
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Bayesian Active Learning Pytorch 27 ⭐
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
Understanding Neuralnetworks Pytorch 24 ⭐
Understanding nuts and bolts of neural networks with PyTorch
Lol Match Prediction 25 ⭐
Win probability predictions for League of Legends matches using neural networks
Dropclass_speaker 17 ⭐
DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
Variational Dropout 16 ⭐
TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
Srinadhu Cs231n 20 ⭐
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Georgezoto Tensorflow In Practice 18 ⭐
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization 12 ⭐
Short description for quick search
Neural Networks And Deep Learning 12 ⭐
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai