Machine Learning
1,193 items from josephmisiti/awesome-machine-learning ★74,572
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Agentic Context Engine github.com
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DeepDetect github.com
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pyhsmm github.com
Bayesian inference in HSMMs and HMMs.
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gobrain github.com
Neural Networks written in go.
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ipychart github.com
Interactive Chart.js plots in Jupyter.
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Polyglot github.com
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VDP github.com
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Mahout github.com
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Algebird github.com
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ggfortify github.com
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textacy github.com
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jellyfish github.com
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Roboschool github.com
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retinaface github.com
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sentences github.com
Sentence tokenizer: converts text into a list of sentences.
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MCP Memory Service github.com
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WebDNN github.com
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Fido github.com
A highly-modular C++ machine learning library for embedded electronics and robotics. [MIT] website
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MLJ github.com
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dfdx github.com
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metaworld github.com
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nndeploy github.com
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VIGRA github.com
A generic C++ computer vision library for image analysis. [MIT X11]
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DataFrames github.com
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XAD github.com
Powerful Automatic Differentiation for C++. [AGPL] website
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PyTorch Lightning Bolts github.com
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NeuroNER github.com
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thinking bayes github.com
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LightlyTrain github.com
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simple_bayes github.com
A Simple Bayes / Naive Bayes implementation in Elixir.
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skrub github.com
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sklearn-genetic-opt github.com
Hyperparameters tuning and feature selection using evolutionary algorithms.
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Auto ML github.com
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Feature Forge github.com
A set of tools for creating and testing machine learning features.
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HLearn github.com
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Disco github.com
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BioRuby github.com
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globe github.com
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KotlinDL github.com
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skforecast github.com
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Conjecture github.com
scalable Machine Learning in Scalding.
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PyCM github.com
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libfm github.com
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python-recsys github.com
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Swift-Brain github.com
Artificial Intelligence/Machine Learning data structures and Swift algorithms for future iOS development. Bayes theorem, Neural Networks, and more AI.
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metric-learn github.com
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D3xter github.com
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d3py github.com
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jieba-php github.com
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Hydrosphere Mist github.com
a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services.
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