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an-implementation-of-transformer

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

blogs

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning_from_scratch

This code library is the implementation of the examples in each chapter in the book "Deep Learning from Scratch"

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

document-sharing

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

homework_fall2019

joyful-pandas

Pandas中文教程

leyuanheart.github.io

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

plugins

Typecho Fans插件作品目录

reinforced-mixture-learning

reinforced-variable-selection

This repository is the official implementation of the paper "Reinforced Variable Selection via Natural Policy Gradient".

reinforcement_learning_algorithms

Reinforcement Learning Algorithms

reinforcement_learning_an_introduction

This code library is the implementation of the examples in each chapter in the book "Reinforcement Learning: An Introduction"

scikit-feature

open-source feature selection repository in python

seal

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons

sgaeiv

Official Implementation of “Subgroup analysis in linear model with measurement error”.

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

the-gan-zoo

A list of all named GANs!

variable-selection-with-reinforcement-learning

This repository is the official implementation of the paper "Reinforced Variable Selection".