Machine Learning & Deep Learning Packages
Machine-learning and deep-learning frameworks and model libraries for training, fine-tuning, and serving models (PyTorch, scikit-learn, Transformers).
Packages in Machine Learning & Deep Learning
Kind
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Datasets
One-line loading and fast, Arrow-backed processing for thousands of ML datasets
Tokenizers
Fast, production-grade tokenizer implementations for NLP and LLMs, written in Rust
safetensors
A safe, zero-copy binary format for storing and loading ML tensors without pickle
Transformers.js
Run Hugging Face Transformers models directly in the browser or Node.js with no server required.
TRL
Fine-tune and align language models with SFT, DPO, GRPO, and RLHF trainers built on Hugging Face Transformers.
Transformers.js
Run Hugging Face Transformers models directly in the browser with no server or Python runtime required.
skops
Securely persist and share scikit-learn models without pickle, and auto-generate model cards for them.
tokenizers
Multi-arch Node.js bindings for HuggingFace's Rust tokenizers library, supporting more platforms and Node versions than the official package.
