Code and documentation to train Stanford's Alpaca models, and generate the data.
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Instruct-tune LLaMA on consumer hardware.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras goal is to make machine learning accessible for everyone.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
A curated list of machine learning models in CoreML format.
Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Curated list of ML related resources for Ruby.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
List of awesome compiler projects and papers for tensor computation and deep learning.
Curated GitHub list of public datasets across science, government, finance, and research topics.
A simple, but essential Bayesian optimization package, written in Python.
7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
GPT Migrate team is working on adding for the agent.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
CPU and GPU-accelerated Machine Learning Library.
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
Accessible large language models via k-bit quantization for PyTorch.