github.com
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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github.com
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
github.com
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.
fast.ai
Making neural nets uncool again, focused on making deep learning more accessible.
github.com
FeatherCNN is a high performance inference engine for convolutional neural networks.
financialdata.net
Documentation - Financial Data API.
github.com
Deep Neural Networks for Golang (powered by MXNet).
helloandy.net
Free AI writing and agent tools: Text Auditor, Humanizer, CLAUDE.md Writer, SKILL.md Generator, AI Writing Coach, and more. No account required.
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.
learn.microsoft.com
Build AI agents and multi-agent workflows in.NET, Python, and Go with Microsoft Agent Framework.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.