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Starred repositories
aider is AI pair programming in your terminal
MinimalChat is a lightweight, open-source chat application that allows you to interact with various large language models.
SGLang is a fast serving framework for large language models and vision language models.
Geospatial Data Science with Julia
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Autonomus AI Agent designed to engage in debate. Supports Ollama (for local LLMs) and Perplexity API.
TorchCFM: a Conditional Flow Matching library
Implementation of Nougat Neural Optical Understanding for Academic Documents
hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 30.67% tasks (pass@1) in SWE-bench lite and 38.40% tasks (pass@1) in SWE-bench verified wi…
ReFT: Representation Finetuning for Language Models
Solve puzzles. Improve your pytorch.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Code for "Learning to summarize from human feedback"
DSPy: The framework for programming—not prompting—foundation models
Code that accompanies the book "Linear Algebra for Data Science"
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Combinatorial optimization layers for machine learning pipelines
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries.
Easily migrate your codebase from one framework or language to another.