Interactive reports to analyze ML models during validation or production monitoring.
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Face recognition library that recognizes and manipulates faces from Python or from the command line.
Foundational Models for State-of-the-Art Speech and Text Translation.
Visualizations for understanding and analyzing machine learning datasets.
Industrial Grade Federated Learning Framework.
Feature store for machine learning.
Feature engineering package with SKlearn like functionality.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Python library for automated feature engineering.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Easy-to-use and flexible AutoML library for Python.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Friendly Federated Learning Framework.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
Library for high performance deep learning inference on NVIDIA GPUs.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
An open source Python library for drift detection in machine learning systems.
Unsupervised machine learning with multivariate Gaussian mixture model.
Julia package for Gaussian processes.
Large scale Gaussian Mixture Models.