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Industrial Grade Federated Learning Framework.
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Feature engineering package with SKlearn like functionality.
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Python library for automated feature engineering.
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A highly-modular C++ machine learning library for embedded electronics and robotics.
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A Scala library for constructing probabilistic models.
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Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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Finds accurate ML models automatically, efficiently and economically.
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
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Easy-to-use and flexible AutoML library for Python.
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This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Friendly Federated Learning Framework.
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Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
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Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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An open source Python library for drift detection in machine learning systems.
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Julia package for Gaussian processes.
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A Chinese segment based on Conditional Random Field.
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Port of OpenAI's Whisper model in C/C++. It can be executed locally.
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AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
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Current flagship model for agentic engineering and stronger coding workflows.
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Fast and convenient feature processing for low latency machine learning in Go.
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Benchmarks of machine learning inference for Go.
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An open source Go transpiler for machine learning models.
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Package for computer vision using OpenCV 4 and beyond.