Update: 2025.04.17

📈 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.

• transformers (🥇54 · ⭐ 140K · 📈) - Transformers: State-of-the-art Machine Learning for.. Apache-2
• sentence-transformers (🥇44 · ⭐ 16K · 📈) - State-of-the-Art Text Embeddings. Apache-2
• Optuna (🥇43 · ⭐ 12K · 📈) - A hyperparameter optimization framework. MIT
• Catboost (🥈42 · ⭐ 8.4K · 📈) - A fast, scalable, high performance Gradient Boosting on.. Apache-2
• Ignite (🥈37 · ⭐ 4.6K · 📈) - High-level library to help with training and evaluating neural.. BSD-3
• auto-sklearn (🥈31 · ⭐ 7.8K · 💀) - Automated Machine Learning with scikit-learn. BSD-3
• Neptune.ai (🥈30 · ⭐ 610 · 📈) - The experiment tracker for foundation model training. Apache-2
• rrcf (🥉20 · ⭐ 510 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
• solt (🥉20 · ⭐ 260 · 📈) - Streaming over lightweight data transformations. MIT
• pytorchviz (🥉19 · ⭐ 3.3K · 📈) - A small package to create visualizations of PyTorch execution.. MIT

📉 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 (🥇45 · ⭐ 32K · 📉) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
• MoviePy (🥇41 · ⭐ 13K · 📉) - Video editing with Python. MIT
• dgl (🥇36 · ⭐ 14K · 📉) - Python package built to ease deep learning on graph, on top of.. Apache-2
• ivy (🥈35 · ⭐ 14K · 📉) - Convert Machine Learning Code Between Frameworks. Apache-2
• librosa (🥈35 · ⭐ 7.6K · 📉) - Python library for audio and music analysis. ISC
• opencv-python (🥈35 · ⭐ 4.8K · 📉) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
• NIPYPE (🥈35 · ⭐ 780 · 📉) - Workflows and interfaces for neuroimaging packages. Apache-2
• Autograd (🥈33 · ⭐ 7.2K · 📉) - Efficiently computes derivatives of NumPy code. MIT
• vecstack (🥉20 · ⭐ 690 · 💀) - Python package for stacking (machine learning technique). MIT
• mlens (🥉19 · ⭐ 850 · 💀) - ML-Ensemble high performance ensemble learning. MIT