littletomatodonkey's starred repositories
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
openai-cookbook
Examples and guides for using the OpenAI API
ControlNet
Let us control diffusion models!
chatgpt-on-wechat
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
paper-reading
深度学习经典、新论文逐段精读
awesome-mlops
A curated list of references for MLOps
awesome-ai-painting
AI绘画资料合集(包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等) Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo
onnx-simplifier
Simplify your onnx model
FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
gpts-works
A Third-party GPTs store
Skywork
Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. 天工系列模型在3.2TB高质量多语言和代码数据上进行预训练。我们开源了模型参数,训练数据,评估数据,评估方法。
playground
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
optimum-quanto
A pytorch quantization backend for optimum
GPT-Fathom
GPT-Fathom is an open-source and reproducible LLM evaluation suite, benchmarking 10+ leading open-source and closed-source LLMs as well as OpenAI's earlier models on 20+ curated benchmarks under aligned settings.
BitDistiller
[ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.