🤖 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.

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Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote)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

Make neovim the best note taking application

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

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

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.

A GraphQL client for Elixir

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.