Graph Neural Networks with Keras and Tensorflow 2.
- graph-neural-networks
- keras
- python
- tensorflow
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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/
Optax is a gradient processing and optimization library for JAX.
🤖 Open-source, local-first alternative to Grok Bot, OpenAI dots and Claude Duet. Your own AI bots on any model: GPT, Claude, Gemini, Grok, DeepSeek, Kimi, GLM and 70+ more through one Modelflare key. Reach them in the app, WeChat or Feishu; they remember you, work in the background, run commands and use your computer. Pay per use.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
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
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).
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
A curated list of data mining papers about fraud detection.
Interpretability and explainability of data and machine learning models
A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
BirdNET analyzer for scientific audio data processing.
Deep probabilistic analysis of single-cell and spatial omics data
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
An offline deep reinforcement learning library
Hyperparameter Experiments with TensorFlow and Keras
Distributed Deep learning with Keras & Spark
World's first general purpose 3D object detection codebse.