Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Natural Language processing in the browser.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
Support Vector Machine for Node.js.
Open-source module for running AI workloads on Kubernetes in an optimized way.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
An open-source cross-platform performance library for deep learning applications.
OneFlow is a performance-centered and open-source deep learning framework.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A library that enables training PyTorch models with differential privacy.
A list of open LLMs available for commercial use.
Grok - An LLM by xAI with and open weights. opensource.