github.com
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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github.com
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
karpathy.ai
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
github.com
Collection of infrastructure and tools for research in neural network interpretability.
neuralnetworksanddeeplearning.com
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
github.com
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
editor.besser-pearl.org
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
github.com
The iOS and OS X neural network framework.
github.com
Theano based library for deep and recurrent neural networks.
github.com
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
github.com
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
github.com
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
github.com
Deep learning in Rust, with shape checked tensors and neural networks.
github.com
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
github.com
Lightweight library to build and train neural networks in Theano.
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
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
github.com
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
netron.app
Visualizer for neural network, deep learning and machine learning models.
neuroph.sourceforge.net
Neuroph is lightweight Java neural network framework.
github.com
Nn builder is a python package that lets you build neural networks in 1 line.