sherrycattt

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

deepo

Setup and customize deep learning environment in seconds.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

optimBench

Benchmark testbed for assessing the performance of optimisation algorithms

py-optim

Gradient-based optimization algorithms in Python

SnapshotEnsemble

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

structured

code for Learning Structured Text Representations

welcome_tutorials

Various tutorials given for welcoming new students at MILA.

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

pytorch

pytorch with SGDR, SGDW and AdamWR

dlwin

GPU-accelerated Deep Learning on Windows 10 native

Stochastic_BB

Python implementation of SVRG-BB and SGD-BB algorithms

scattering.m

Scattering.m — a MATLAB toolbox for wavelet scattering

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

RFNN

Structured Receptive Fields in Convolutional Neural Networks

Convolutional-LSTM-in-Tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

summerschool2017

Material for the Montréal Deep Learning Summer School 2017

Sum-of-Functions-Optimizer

Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.

DeepLearningImplementations

Implementation of recent Deep Learning papers

Deep-ADMM-Net

convnet

NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

models

Models and examples built with TensorFlow

keras

Deep Learning for humans

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

my-git

Individual collecting material of learning git（有关 git 的学习资料）