🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's best suited for building RAG, multi-agent workflows, or business process automations.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote)

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Open source industrial IoT connectivity server

Tensors and dynamic neural networks in pure Rust.

Neuron - Electron, ES6, React, PouchDB, Sass, Webpack

open source interpretability platform 🧠

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

NEURON Simulator

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

Deep neural models for core NLP tasks (Pytorch version)

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Make neovim the best note taking application

A neural network written in Python, consisting of a single neuron that uses back propagation to learn.

A GraphQL client for Elixir

On-device AI for Android — LLM chat (GGUF/llama.cpp), vision models (VLM), image generation (Stable Diffusion), tool calling, AI personas, RAG knowledge packs, TTS/STT. Fully offline, zero subscriptions, open-source.

Brain Modeling Toolkit

code for reproducing some of the diagrams in the paper "Multimodal Neurons in Artificial Neural Networks"

Visualizer for large-scale and interactive ray-tracing of neurons

Research Artifact of ICSE 2023 Paper: Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion

Python exercises accompanying the book "Neuronal Dynamics"

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Training and inference on AWS Trainium and Inferentia chips.