JiekaiJia

baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

open_flamingo

An open-source framework for training large multimodal models.

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Chinese-Vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Chinese-alpaca-lora

骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

BELLE

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

OpenChatKit

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

optimate

A collection of libraries to optimise AI model performances

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

ColossalAI

Making large AI models cheaper, faster and more accessible

ChatYuan

ChatYuan: Large Language Model for Dialogue in Chinese and English

LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

crat-pred

apollo

An open autonomous driving platform

Argoverse2_Motion_Forecasting

MFTF: Motion Forecasting Using Transformers

CPlusPlusThings

C++那些事

DCENet

Exploring Dynamic Context for Multi-path Trajectory Prediction

LTNtorch

PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

modulardecision

[CoRL'20] Learning a Decision Module by Imitating Driver’s Control Behaviors

NDQ

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

MARL-Algorithms

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

MAProj

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

rllib_differentiable_comms

This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.

DVRL

Deep Variational Reinforcement Learning