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).
Free and open source face recognition with deep neural networks.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Graph Neural Network Library for PyTorch.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
Example of how the neural network learns to predict the angle between two points created with Synaptic.
Guidelines for Human-AI Interaction - Microsoft Research supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Undermind - AI-Powered Scientific Research Assistant supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
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.
Layer - Neural network inference from the command line, implemented in.
Blog for understanding Neural Networks!
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.
FeatherCNN is a high performance inference engine for convolutional neural networks.
Deep Neural Networks for Golang (powered by MXNet).
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.