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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
scikit-learn: machine learning in Python
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
You like pytorch? You like micrograd? You love tinygrad! ❤️
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Magenta: Music and Art Generation with Machine Intelligence
We write your reusable computer vision tools. 💜
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Anomaly detection related books, papers, videos, and toolboxes
Matplotlib styles for scientific plotting
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Missing data visualization module for Python.
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
The official Python client for the Huggingface Hub.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Efficient Triton Kernels for LLM Training
