Popular GitHub Repositories for Dropout

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Deep learning library in plain Numpy.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

:microscope: Nano size Theano LSTM module

Artificial Intelligence Learning Notes.

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

My workshop on machine learning using python language to implement different algorithms

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

Bayesian Neural Network in PyTorch

PyTorch Implementations of Dropout Variants

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

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

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)