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pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-nlp

Basic Utilities for PyTorch Natural Language Processing (NLP)

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

random_forest_run

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rcf-pytorch

Richer Convolutional Features for Edge Detection model in pytorch

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rembo

Bayesian optimization in high-dimensions via random embedding.

resampy

Efficient sample rate conversion in python

resnext-pytorch

resources

需要的一些资源

respin

Tool to backup and clone Ubuntu or Debian distros

reveal.js

The HTML Presentation Framework

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

robo

RoBO: a Robust Bayesian Optimization framework

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

scikit-cuda

Python interface to GPU-powered libraries

scikit-learn

scikit-learn: machine learning in Python

seaborn-data

Data repository for seaborn examples

see_you_in_bupt

北京邮电大学计算机考研信息汇总

semanticcnn

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

servlet-and-jsp-a-tutorial

shadowsocks-deepin

a powful shadowsocks client for deepin

shadowsocks-qt5

A cross-platform shadowsocks GUI client

shap

A game theoretic approach to explain the output of any machine learning model.

shapely

Manipulation and analysis of geometric objects

shared_paper