Stars
All Algorithms implemented in Python
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Python tool for converting files and office documents to Markdown.
scikit-learn: machine learning in Python
Interact with your documents using the power of GPT, 100% privately, no data leaks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Official inference repo for FLUX.1 models
A framework for managing and maintaining multi-language pre-commit hooks.
Statsmodels: statistical modeling and econometrics in Python
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Uplift modeling and causal inference with machine learning algorithms
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Image augmentation library in Python for machine learning.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Tutorial material on the scientific Python ecosystem
Pre-trained word vectors of 30+ languages
Feature engineering and selection open-source Python library compatible with sklearn.
Statistical package in Python based on Pandas
Lightweight and extensible compatibility layer between dataframe libraries!
moDel Agnostic Language for Exploration and eXplanation