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Name: Don Kang
Type: User
Bio: Building AI Scientist
Name: Don Kang
Type: User
Bio: Building AI Scientist
An Artificial Intelligence Automation Platform. AI Instruction management from various providers, has an adaptive memory, and a versatile plugin system with many commands including web browsing. Supports many AI providers and models and growing support every day.
Instruct-tune LLaMA on consumer hardware
Alpaca-LoRA as Chatbot service
Locally run an Instruction-Tuned Chat-Style LLM
Alpaca dataset from Stanford, cleaned and curated
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Let ChatGPT teach your own chatbot in hours with a single GPU!
A framework for the evaluation of autoregressive code generation language models.
Conditional Transformer Language Model for Controllable Generation
The simplest way to run LLaMA on your local machine
A Open Database-GPT Experiment, which based on vicuna-13b and fastchat, meanwhile it use langchain and llama-index for in-context learning and QA
Starter App to Build Your Own App to Query Doc Collections with Large Language Models (LLMs) using LlamaIndex, Langchain, OpenAI and more (MIT Licensed)
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
Repo for fine-tuning GPTJ and other GPT models
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.
The current release is only for M1 and M2 macs. We are working on Intel Mac and Windows support. Soon we'll release for all the platforms.
A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
GPT4 & LangChain Chatbot for large PDF docs
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer
4 bits quantization of LLaMA using GPTQ
Come join the movement to make the world's best open source GPT led by H2O.ai - 100% private chat and document search, no data leaks, Apache 2.0
LangChain + LLama Index for Document Understanding application
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Fine-tuning LLaMA to follow instructions within 1 Hour and 1.2M Parameters
Python bindings for llama.cpp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.