π Trending Up
Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity.
- PyTorch (π₯51 Β· β 69K Β· π) - Tensors and Dynamic neural networks in Python with strong GPU..
BSD-3
- Keras (π₯46 Β· β 59K Β· π) - Deep Learning for humans.
Apache-2
- Plotly (π₯42 Β· β 14K Β· π) - The interactive graphing library for Python This project now includes..
MIT
- ivy (π₯37 Β· β 12K Β· π) - Unified AI.
Apache-2
- CuPy (π₯37 Β· β 7K Β· π) - NumPy & SciPy for GPU.
MIT
- torchtext (π₯35 Β· β 3.3K Β· π) - Models, data loaders and abstractions for language..
BSD-3
- HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself.
BSD-3
- opencv-python (π₯34 Β· β 3.6K Β· π) - Automated CI toolchain to produce precompiled opencv-python,..
MIT
- pythreejs (π₯29 Β· β 880 Β· π) - A Jupyter - Three.js bridge.
BSD-3
- DeepMatcher (π₯23 Β· β 4.8K Β· π) - Python package for performing Entity and Text Matching using..
BSD-3
π Trending Down
Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity.
- PySpark (π₯38 Β· β 36K Β· π) - Apache Spark Python API.
Apache-2
- Coqui TTS (π₯32 Β· β 13K Β· π) - - a deep learning toolkit for Text-to-Speech, battle-..
MPL-2.0
- cuDF (π₯31 Β· β 5.6K Β· π) - cuDF - GPU DataFrame Library.
Apache-2
- VisPy (π₯28 Β· β 3.1K Β· π) - High-performance interactive 2D/3D data visualization..
βUnlicensed
- pingouin (π₯26 Β· β 1.4K Β· π) - Statistical package in Python based on Pandas.
βοΈGPL-3.0
- detecto (π₯18 Β· β 590 Β· π) - Build fully-functioning computer vision models with PyTorch.
MIT
- matrixprofile-ts (π₯17 Β· β 710 Β· π) - A Python library for detecting patterns and anomalies..
Apache-2
- scikit-rebate (π₯17 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of..
MIT
- OMLT (π₯14 Β· β 200 Β· π) - Represent trained machine learning models as Pyomo optimization..
βUnlicensed
- sklearn-evaluation (π₯11 Β· β 1 Β· π£) - Machine learning model evaluation made easy: plots,..
MIT