datianshi21 Goto Github PK

fluiddoc

Documentations for PaddlePaddle

foir

Freedom of Information Requests from Waterloo Region Open Data

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gnn_demo

google-research

Google Research

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hackearth

The codes I wrote in HackEarth

hadoop-exercises

hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

hellogithub

:octocat:分享 GitHub 上好玩、容易上手的项目，帮你找到编程的乐趣。欢迎推荐、自荐项目，让更多人知道你的项目⭐️

holocubic

透明小电视

intro_ds

Code to accompany Mastering Data Science from PT press

itembasedcf-master

CloudComputingRecSystem

itemcf

java-concurrency-examples

Java Concurrency/Multithreading Examples

javafx-concurrency-samples

Projects using JavaFX to demonstrate concurrency examples

joeyjing.github.io

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

kaggle-api

Official Kaggle API

kaggle-web-traffic

1st place solution

lab

A customisable 3D platform for agent-based AI research

learning_matplotlib

pyplot tutorial

leetcode

The code I wirite on LeetCode

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

libfm

Library for factorization machines

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lstm-context-embeddings

Augmenting word embeddings with their surrounding context using bidirectional RNN

machine-learning-practice

machine learning practice