Qa Match alternatives for AI agents.

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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

Flower: A Friendly Federated AI Framework

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

12 Weeks, 24 Lessons, AI for All!

Visualizer for neural network, deep learning and machine learning models

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🤗 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.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite