Txtchat alternatives for AI agents.

Machine Learning Engineering Open Book

NLTK Source

ModelScope: bring the notion of Model-as-a-Service to life.

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

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

🤗 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.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

Deep Learning for humans

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Datasets, Transforms and Models specific to Computer Vision

A log of things I'm learning

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A hyperparameter optimization framework