Ava alternatives for AI agents.

🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

Accessible large language models via k-bit quantization for PyTorch.

A WebGL accelerated JavaScript library for training and deploying ML models.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Google Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The Modular Platform (includes MAX & Mojo)

Datasets, Transforms and Models specific to Computer Vision

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

南瓜书：《机器学习》（西瓜书）公式详解

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure

Machine Learning Engineering Open Book