Shwan's repositories
baize-chatbot
Let ChatGPT teach your own chatbot in hours with a single GPU!
DeepWorks
A collection of Deep Learning projects and resources
cerebras-lora-alpaca
LoRA weights for Cerebras-GPT-2.7b finetuned on Alpaca dataset with shorter prompt
awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
the-algorithm
Source code for Twitter's Recommendation Algorithm
bigscience
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
GLM
GLM (General Language Model)
chatllama
ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
NLP-RoadMap
📚 机器学习、深度学习、自然语言处理学习路线图 及 AI方向学习资源、工具
WZCQ
用基于策略梯度得强化学习方法训练AI玩王者荣耀
ResnetGPT
用Resnet101+GPT搭建一个玩王者荣耀的AI
fancyss_history_package
科学上网插件的离线安装包储存在这里
multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
HELIX_THEORY
螺旋论（theory of helix）—— “熵减机理论（可用来构建AGI、复杂性系统等）”
he4o
和（he for objective-c） —— “以螺旋论为基础开发的信息熵减机（通用人工智能系统）”
AIRIS_Public
AIRIS Public Release
ANSNA
Adaptive Neuro-Symbolic Network Agent
sizzle
A sizzlin' hot selector engine.
SoarGym
Interfacing the Soar cognitive architecture with OpenAI Gym
KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统
RoughNLP
A very simple NLP system for NARS, for beginners, based on some simple matching mechanisms.
ALANN2018
Adaptive Logic and Neural Network (ALANN) version of NARS style General Machine Intelligence (GMI)
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
Lazyminer
The Lazyminer project, Non-Axiomatic Reasoning for rule mining on mobile devices.
malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information: