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Hi there, I'm Daochen Zha (ζŸ₯道琛 in Chinese)! πŸ‘‹πŸ‘‹πŸ‘‹

πŸ”­ I’m working on machine learning and data mining, particularly on Reinforcement Learning (RL) and Data-centric AI

πŸ˜„ I love developing open-source projects. I’m looking forward to collaborate on any fun projects.

πŸ€” I have made a YouTube video to share my journey of open-source projects.

πŸ“’ News: Please check out our open-sourced Large Time Series Model (LTSM)!

πŸ“’ News: Please check out our data-centric AI survey and awesome data-centric AI resources!

Popular Projects

Project Resources
Understanding Different Design Choices in Training Large Time Series Models Paper
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research Paper | Demo | Video
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models Paper | Website
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Paper | ηŸ₯乎
Awesome Data-centric AI Resources Survey Paper | Perspective Paper | ηŸ₯乎 | Blog
NeuroShard: Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models MLSys'23 Paper
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML'21 Paper | Demo | ηŸ₯乎 | Video | Blog
RLCard: A Toolkit for Reinforcement Learning in Card Games IJCAI'20 Paper | Demo | ηŸ₯乎 | Video | Blog
RLCard-Showdown: Frontend for DouZero and RLCard Demo
Awesome Game AI Resources on Multi-agent Learning
TODS: Automated Time-series Outlier Detection System AAAI'21 Paper | Blog | Video
AutoVideo: An Automated Video Action Recognition System IJCAI'22 Paper | Blog | Video
BED: A Real-Time Object Detection System for Edge Devices CIKM'22 Best Demo Paper | Video
PyODDS: An End-to-end Outlier Detection System WWW'20 Paper
DreamShard: Generalizable Embedding Table Placement for Recommender Systems NeurIPS'22 Paper
AutoShard: Automated Embedding Table Sharding for Recommender Systems KDD'22 Paper
Towards Automated Over-Sampling for Imbalanced Classification CIKM'22 Paper
Towards Similarity-Aware Time-Series Classification SDM'22 Paper
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR'21 Paper
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning ICDM'20 Paper

Daochen Zha's Projects

ltsm icon ltsm

Understanding Different Design Choices in Training Large Time Series Models

meta-aad icon meta-aad

[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

neuroshard icon neuroshard

[MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

open_spiel icon open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

overwatch icon overwatch

autoHotKey based auto aimming script for overwatch

pyodds icon pyodds

An End-to-end Outlier Detection System

rapid icon rapid

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

reinforcement-learning-1 icon reinforcement-learning-1

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rlcard icon rlcard

A testbed for reinforcement learning in card games (poker game)

simtsc icon simtsc

[SDM 2022] Towards Similarity-Aware Time-Series Classification

ssrl icon ssrl

Self-Supervised Reinforcement Learning

surco icon surco

Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems

tianshou icon tianshou

An elegant PyTorch deep reinforcement learning library.

torch-quiver icon torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

typo icon typo

Typo is the oldest and most powerful Ruby on Rails blogware, providing custom templates, powerful drag and drop plugins API, advanced SEO capabilities, XMLRPC API and many more.

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