ianserlin

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

gpt4all

GPT4All: Chat with Local LLMs on Any Device

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

tesseract.js

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

babyagi

alpaca-lora

Instruct-tune LLaMA on consumer hardware

guidance

A guidance language for controlling large language models.

mlx

MLX: An array framework for Apple silicon

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

ggml

Tensor library for machine learning

embedchain

Memory for AI agents

plasmo

🧩 The Browser Extension Framework

trl

Train transformer language models with reinforcement learning.

nebuly

The user analytics platform for LLMs

mlx-examples

Examples in the MLX framework

tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

LMOps

General technology for enabling AI capabilities w/ LLMs and MLLMs

instagraph

Converts text input or URL into knowledge graph and displays

kentcdodds.com

My personal website

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

promptable

Build LLM apps in Typescript/Javascript. 🧑‍💻 🧑‍💻 🧑‍💻 🚀 🚀 🚀

dust

Amplify your team's potential with customizable and secure AI assistants.

web-ai

Run modern deep learning models in the browser.

llm-client

JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼

tree-of-thought-prompting

Using Tree-of-Thought Prompting to boost ChatGPT's reasoning

mass

Massdriver CLI