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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
github.com
Deep learning in Rust, with shape checked tensors and neural networks.
github.com
FeatherCNN is a high performance inference engine for convolutional neural networks.
github.com
Deep Neural Networks for Golang (powered by MXNet).
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
github.com
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
victorzhou.com
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
github.com
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
github.com
Lightweight library to build and train neural networks in Theano.
github.com
Neural network inference from the command line, implemented in CHICKEN Scheme.
github.com
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
github.com
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
github.com
Collection of infrastructure and tools for research in neural network interpretability.
github.com
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
github.com
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
github.com
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
github.com
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
github.com
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
github.com
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
netron.app
Visualizer for neural network, deep learning and machine learning models.
github.com
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
networkx.org
Analyzes structured data and helps produce queries, insights or visualizations.
neuralnetworksanddeeplearning.com
Helps find, analyze or synthesize information for research and knowledge discovery.