TimeCracker

A3C-PyTorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

animeGAN

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

awesome

:sunglasses: Curated list of awesome lists

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

Awesome-Deep-Learning-Resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

awesome-deep-vision

A curated list of deep learning resources for computer vision

CoderReader

TimeCracker/animeGAN

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

TimeCracker/Awesome-Deep-Learning-Resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

TimeCracker/CoderReader

TimeCracker/char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

TimeCracker/crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

TimeCracker/dcgan_code

Deep Convolutional Generative Adversarial Networks

TimeCracker/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

TimeCracker/deeplearning-papernotes

Summaries and notes on Deep Learning research papers

TimeCracker/DeepLearningBook

MIT Deep Learning Book in PDF format

TimeCracker/dl_course

TimeCracker/env_config

TimeCracker/File

Reference Files

TimeCracker/foundations_for_deep_learning

Building a scalable foundation for deep learning

TimeCracker/FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers

TimeCracker/functional-zoo

PyTorch and Tensorflow functional model definitions

TimeCracker/keras-attention-mechanism

Attention mechanism Implementation for Keras.

TimeCracker/machine-learning-notes

机器学习笔记

TimeCracker/nn-learn

repo for learning neural nets and related material

TimeCracker/NotePics

image hosting for nots

TimeCracker/odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks

TimeCracker/openbilibili

哔哩哔哩后台源码

TimeCracker/openbilibili-1

哔哩哔哩 bilibili go-common

TimeCracker/reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

TimeCracker/rl4nlp

Reinforcement learning for natural language processing reading group

TimeCracker/seq2seq

Sequence to Sequence Learning with Keras

TimeCracker/SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

TimeCracker/sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

TimeCracker/tensorflow

Computation using data flow graphs for scalable machine learning

TimeCracker/The-GAN-World

Everything about Generative Adversarial Networks

TimeCracker/The-Terrible-Deep-Learning-List

15 working examples to get you started with Deep Learning without learning any of the math.