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Language: Python
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๐ค 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. ๐ 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 (Vโฆ
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,โฆ
You like pytorch? You like micrograd? You love tinygrad! โค๏ธ
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 learโฆ
Magenta: Music and Art Generation with Machine Intelligence
We write your reusable computer vision tools. ๐
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.
๐ฎ 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
๐ Accelerate training and inference of ๐ค Transformers and ๐ค 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.
๐ค Evaluate: A library for easily evaluating machine learning models and datasets.
Efficient Triton Kernels for LLM Training