Accord.NET provides machine-learning models, research, training resources, or evaluation tools.
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Infer.NET provides machine-learning models, research, training resources, or evaluation tools.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
The go-to, no-nonsense, fast and lean job site in AI, ML, Data Science and Big Data.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Responsible enterprise decisions with knowledge-enriched generative AI Deloitte Netherland provides machine-learning models, research, training…
A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
Free AI writing and agent tools: Text Auditor, Humanizer, CLAUDE.md Writer, SKILL.md Generator, AI Writing Coach, and more. No account required.
Animations and instructional videos about neural networks.
Neural networks in JavaScript - continued community fork of Brain.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Neural networks, regression and feature learning in Clojure.
FANN (Fast Artificial Neural Network) binding.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Torch CUDA Neural Network Implementation.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
Deep Neural Networks for Golang (powered by MXNet).
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Collection of infrastructure and tools for research in neural network interpretability.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.