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Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
🔥 《Go 程序员宝典》：go 基础语法，go 并发模式，go runtime 实现原理 ，企业级 go 语言项目经验。
Clean Architecture template for Golang services
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/…
An elegant PyTorch offline reinforcement learning library for researchers.
ExORL: Exploratory Data for Offline Reinforcement Learning
codes for SORL framework for auto-bidding
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
Implementation of 6 DQN extension methods using Pytorch. (RAINBOW)
A PyTorch Platform for Distributed RL
Minimal and Clean Reinforcement Learning Examples
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Modularized Implementation of Deep RL Algorithms in PyTorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
