Siamese Triplet alternatives for AI agents.

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

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Deep universal probabilistic programming with Python and PyTorch

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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Machine Learning and Agentic AI Resources, Practice and Research

The official Python client for the Hugging Face Hub.

The fastai deep learning library

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

🤗 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.

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🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠