Haruki09's repositories
ijcai-2018
ijcai-2018 top1 solution
AutoML2019
KDD CUP 2019
byteps
A high performance and generic framework for distributed DNN training
CDCS
Chinese Data Competitions' Solutions
fairseq-1
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
featuretools
An open source python library for automated feature engineering
gym
A toolkit for developing and comparing reinforcement learning algorithms.
HIST
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
Home-Credit-Default-Risk
2nd Place Solution 💰🥈
hwwang55.github.io
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
kaggle_criteo_ctr_challenge-
This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
kubernetes
Production-Grade Container Scheduling and Management
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
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）
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
mercari-solution
Mercari 1st place solution (kaggle)
movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
QUANTAXIS
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Tencent2019_Finals_Rank1st
2019腾讯广告算法大赛完整代码（冠军）
tensorflow-XNN
4th Place Solution for Mercari Price Suggestion Challenge on Kaggle (https://www.kaggle.com/c/mercari-price-suggestion-challenge)
texar
Toolkit for Text Generation and Beyond
text_classification
all kinds of text classificaiton models and more with deep learning
textdistance
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.