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covid-19-nation

this is the data for the National Epidemic Risk Analysis Model (NERAM)

crystalxy123.github.io

damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

data-for-stdsam--

This is the dataset for DSAM model, which is used to caculate the similarity between different countries in the epidemic spreading field. And it could help the goverment to make decisions.

deep-learning

dl_project

dsam

DSAM

dtsam

first

handsondeeplearningwithpytorch

Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch

identification-of-abnormal-transfer-behavior

基于深度搜索和随机游走的有向图遍历算法

marl-algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mlp

nuclear_safety_amazing_paper

It's a repository of some amazing paper on nuclear safety field, which is collecting by myself.

picture

pictures

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.