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awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

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

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

deeplearning

深度学习框架学习笔记,搭建一些常用的深度学习程序。

gpml

An up-to-date version of GPML library.

keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

memn2n

End-To-End Memory Network using Tensorflow

memn2n-tensorflow

"End-To-End Memory Networks" in Tensorflow

mtlearn

Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)

nsvm

Supporting repository for ICLR 2017 paper submission.

oct2py

Run M Files from Python - GNU Octave to Python bridge

oucml

rnn_garch

Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-101

learn code with tensorflow

tensorflow-cookbook

Simple Tensorflow Cookbook for easy-to-use

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

wiki

ycy

欢迎大家！hello ycy