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General natural language facilities for node.
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Model viewer for inspecting neural network architecture files from many machine learning frameworks.
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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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A PyTorch implementation of DeepDream.
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A parallel neural net microframework.
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A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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Machine learning for NeuroImaging in Python.
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Natural Language processing in the browser.
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An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
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A Julia package for non-negative matrix factorization.
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Nn builder is a python package that lets you build neural networks in 1 line.
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This package provides graphical computation for nn library in Torch7.
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An open source AutoML toolkit for automate machine learning lifecycle.
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A completely unstable and experimental package that extends Torch's builtin nn library.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
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Reference implementations of ML models written in numpy.
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Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
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React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.
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A general statistics and machine learning library.
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Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
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An open-source cross-platform performance library for deep learning applications.
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OneFlow is a performance-centered and open-source deep learning framework.
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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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An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).