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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
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A minimalistic opinionated Mastodon web client
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Statistics, data mining and machine learning toolbox in Java.
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Simple and efficient library to minimize expensive and noisy black-box functions.
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Minimal video cutting tool for trimming clips without a heavy editing workflow.
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Minimize LLM token complexity to save API costs and model computations.
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Minimalist neural network library optimized for sparse data and single machine environments.