Stars
Datasets, Transforms and Models specific to Computer Vision
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Models and examples built with TensorFlow
🤗 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.
A game theoretic approach to explain the output of any machine learning model.
The interactive graphing library for Python ✨
Interactive Data Visualization in the browser, from Python
scikit-learn: machine learning in Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Read, modify and write DICOM files with python code
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
YSDA course in Natural Language Processing
Manipulation and analysis of geometric objects
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Package for managing conda environment-based kernels inside of Jupyter
A scikit-learn compatible neural network library that wraps PyTorch
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Distributed Asynchronous Hyperparameter Optimization in Python
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
A lightweight library for PyTorch training tools and utilities
A Python implementation of global optimization with gaussian processes.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning