Inference code for Llama models

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

A list of Free Software network services and web applications which can be hosted on your own servers

This is the official implementation of Multi-Agent PPO (MAPPO).

Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effe…

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

PyTorch implementations of Generative Adversarial Networks.

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

Multi Agent Reinforcement Learning using MalmÖ

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

VS Code in the browser

An elegant PyTorch deep reinforcement learning library.

A docker image which provides openconnect with proxy

PyTorch implementations of deep reinforcement learning algorithms and environments

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

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

FEN Code

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

An interface with micropolis for city-building agents, packaged as an OpenAI gym environment

Latex code for making neural networks diagrams

Reinforcement Learning in PyTorch

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

The basic distribution probability Tutorial for Deep Learning Researchers

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

Reproduce some methods in semi-supervised papers.