A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
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A curated list of community detection research papers with implementations.
An open-source framework for machine learning and other computations on decentralized data.
An intuitive library to add plotting functionality to scikit-learn objects.
Graph Neural Networks with Keras and Tensorflow 2.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A modular active learning framework for Python
Optax is a gradient processing and optimization library for JAX.
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Feature engineering and selection open-source Python library compatible with sklearn.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
This package contains deep learning models and related scripts for RoseTTAFold
Reinforcement Learning in PyTorch
TensorFlow for Raspberry Pi
An open source library and framework for deep learning on satellite and aerial imagery.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Corridor Key 2.0 for all your green and blue screen needs
A toolkit for reproducible reinforcement learning research.
Easy to use Python library for creating 2D arcade games.
Co-op Anything: point your AI agent at any single-player game and play it with friends (online and/or splitscreen!). MCP server and playbook to let you reverse engineer, fix, test, ship and share what it learns.
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
Python Stream Processing
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds