ML Frameworks & Libraries

6 tools

TensorFlow

Why I use it: End-to-end ML platform for building and deploying models at scale

4.4
PyTorch

Why I use it: Dynamic deep learning framework favored in research for its flexibility and Pythonic design

4.4
Scikit-learn

Why I use it: Essential ML library for classification, regression, clustering, and preprocessing

4.8
Hugging Face

Why I use it: Hub for pretrained models, datasets, and NLP/CV/audio tools with Transformers library

4.4
XGBoost

Why I use it: Gradient boosting library that dominates tabular data competitions and production ML

4.4
Keras

Why I use it: High-level neural network API for fast prototyping with TensorFlow backend

4.5