limingdeng Goto Github PK

prmlt

Pattern Recognition and Machine Learning Toolbox

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prognosticsmodellibrary

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

pytorch-transformer

pytorch implementation of Attention is all you need

race_ar_baselines

radish

C++ model train&inference framework

rapping-neural-network

Rap song writing recurrent neural network trained on Kanye West's entire discography

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

residual_block_keras

Residual network block in Keras

resume

An elegant \LaTeX\ résumé template

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

scnn

Implementation of search-convolutional neural networks (SCNNs)

segphrase

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

seq2seq_chatbot

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

simpleds

A Simple Deep Reinforcement Learning Dialogue System

sinaspider

新浪微博爬虫（Scrapy、Redis）

snapshotensemble

spanbert

Code for using and evaluating SpanBERT.

stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).

summerschool2016

Montréal Deep Learning Summer School 2016 material

surprise

A Python recommender system library aimed towards researchers, teachers and students.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-exercises

TensorFlow Exercises - focusing on the comparison with NumPy.

tensorflow-talk-debugging

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)