Stars
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
A unified, comprehensive and efficient recommendation library
A data augmentations library for audio, image, text, and video.
A JupyterLab extension for displaying cell timings
Lightning ⚡️ fast forecasting with statistical and econometric models.
🤗 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.
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018. NEW for 2026 - the LGPL3 Version 6. Transforms tkinter, Qt, WxPython, and Remi int…
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
OpenMMLab Detection Toolbox and Benchmark
Jupyterlab extension to show notebook cell completion notifications
A collection of loss functions for medical image segmentation
Emacs client/library for the Language Server Protocol
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Python package for stacking (machine learning technique)
Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox
Profiling and inspecting memory in pytorch