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.
- SymPy (π₯46 Β· β 10K Β· π) - A computer algebra system written in pure Python.
BSD-3
- nltk (π₯45 Β· β 12K Β· π) - Suite of libraries and programs for symbolic and statistical natural..
Apache-2
- Gradio (π₯38 Β· β 13K Β· π) - Wrap UIs around any model, share with anyone.
Apache-2
- sktime (π₯37 Β· β 6.2K Β· π) - A unified framework for machine learning with time series.
BSD-3
- pythreejs (π₯29 Β· β 850 Β· π) - A Jupyter - Three.js bridge.
BSD-3
- lazypredict (π₯27 Β· β 1.8K Β· π) - Lazy Predict help build a lot of basic models without much..
MIT
- PyText (π₯25 Β· β 6.4K Β· π) - A natural language modeling framework based on PyTorch.
BSD-3
- equinox (π₯24 Β· β 990 Β· π) - Elegant easy-to-use neural networks in JAX...
Apache-2
- somoclu (π₯21 Β· β 240 Β· π) - Massively parallel self-organizing maps: accelerate training on..
MIT
- recmetrics (π₯20 Β· β 480 Β· π) - A library of metrics for evaluating recommender systems.
MIT
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.
- jax (π₯43 Β· β 22K Β· π) - Composable transformations of Python+NumPy programs: differentiate,..
Apache-2
- yfinance (π₯39 Β· β 9K Β· π) - Download market data from Yahoo! Finances API.
Apache-2
- PaddleOCR (π₯35 Β· β 28K Β· π) - Awesome multilingual OCR toolkits based on PaddlePaddle..
Apache-2
- NNI (π₯35 Β· β 13K Β· π) - An open source AutoML toolkit for automate machine learning lifecycle,..
MIT
- sentence-transformers (π₯35 Β· β 9.5K Β· π) - Multilingual Sentence & Image Embeddings with BERT.
Apache-2
- DeepSpeech (π₯33 Β· β 21K Β· π) - DeepSpeech is an open source embedded (offline, on-..
MPL-2.0
- MindsDB (π₯33 Β· β 14K Β· π) - In-Database Machine Learning.
βοΈGPL-3.0
- ART (π₯33 Β· β 3.5K Β· π) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning..
MIT
- auto-sklearn (π₯31 Β· β 6.7K Β· π) - Automated Machine Learning with scikit-learn.
BSD-3
- Maze (π₯13 Β· β 220 Β· π) - Maze Applied Reinforcement Learning Framework.
βοΈCustom