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chunlang's Projects

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dm_control icon dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

dreamer icon dreamer

Dream to Control: Learning Behaviors by Latent Imagination

fjsp-gpu icon fjsp-gpu

Flexible Job Shop Scheduling Problem: CUDA Solution

go-socket.io icon go-socket.io

socket.io library for golang, a realtime application framework.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

machine-learning-project-walkthrough icon machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

neuronblocks icon neuronblocks

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

open_spiel icon open_spiel

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

openvtuber icon openvtuber

虚拟爱抖露(アイドル)共享计划, 是基于单目RGB摄像头的人眼与人脸特征点检测算法, 在实时3D面部捕捉以及模型驱动领域的应用.

proxylessnas icon proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

react-antd-admin icon react-antd-admin

后台前端管理系统,基于react、typescript、antd、dva及一些特别优秀的开源库实现

rllab icon rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

tidb icon tidb

TiDB is an open source distributed HTAP database compatible with the MySQL protocol

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