usakey Goto Github PK

adversarialnetspapers

The classical papers and codes about generative adversarial nets

algorithms-part-i

This is for coursera Algorithms, Part I weekly programming assignments

any

Project Any

autosmart

awesome-chatbot

Awesome Chatbot Projects,Corpus,Papers,Tutorials.

benchmarks

Benchmark code

bi-att-flow

Bidirectional Attention Flow

clearcut

Clearcut is a tool that uses machine learning to help you focus on the log entries that really need manual review

crackcode

CrackCodeExercise

cs224n-nlp-with-dl

Assignments for cs224n-2017 version.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

distribute_crawler

使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现

docs

TensorFlow documentation

druid

为监控而生的数据库连接池！

druidapp

This is to develop better application based on Druid project. Currently mainly on column level data lineage.

easy_seq2seq

[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

horovod

Distributed training framework for TensorFlow.

how-to-deploy-a-tensorflow-model-in-production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

jekyll-bootstrap

The quickest way to start and publish your Jekyll powered blog. 100% compatible with GitHub pages.

jiwei-thesis

kafka

Mirror of Apache Kafka

kafka-storm

This is for kafka and storm integration

leetcode

LeetCode题解，140道题完整版

leetcode-1

leetcode

lesmmrc

2018年“莱斯杯”军事智能机器阅读挑战赛（Top 5% 14th/247）

models

Models built with TensorFlow