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60_days_rl_challenge

Learn Deep Reinforcement Learning in depth in 60 days

anomalydetectiontransformations

A simple and effective method for single-class classification of images

awesome-deep-learning

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

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blog

caffe-lstm

LSTM implementation on Caffe

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-forecast

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deepframeworks

Evaluation of Deep Learning Frameworks

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deeplearningtutorial

Deep learning tutorial in Chinese/深度学习教程中文版

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl-rnn

Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM

easyml

Easy Machine Learning

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

effectivepython

Effective Python: Source Code and Errata for the Book

european_dataset

Generaton of a large-scale European dataset for market research

example-code

Example code for the book Fluent Python

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

hello-world

学会使用gitup

interview-notebook

:calendar: 准备秋招学习笔记