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100-gdb-tips

A collection of gdb tips. 100 maybe just mean many here.

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

adversarialnetspapers

The classical papers and codes about generative adversarial nets

anki

Anki theme for programming snippets

aspen_wiki

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

best-app

收集&推荐优秀的 Apps/硬件/技巧/周边等

chinese-stock-api

Python API to get stock data in Chinese market

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

data_augmentation_caffe

common data augmentation methods, implemented in caffe.

deep-goggle

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

deep-residual-networks

Deep Residual Learning for Image Recognition

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dragon

a fast and easy deep learning framework

easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ief

Iterative Error Feedback

kfpandayang.github.com

linuxtool

Linux下常用工具及其命令介绍

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

pythonpy

the swiss army knife of the command line

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

rtags

A c/c++ client/server indexer for c/c++/objc[++] with integration for Emacs based on clang.

scikit-learn

scikit-learn: machine learning in Python

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

supplementary-buttons-anki

Provides supplementary formatting buttons for AnkiSRS

triplet-learning

Training code to reproduce FaceNet