A spiking neural network library built on top of PyTorch.

Writing AI Conference Papers: A Handbook for Beginners

A playbook for systematically maximizing the performance of deep learning models.

SSHamble: Unexpected Exposures in SSH

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

Like Claude Artifacts but lives in a single static HTML page which you can use with any language model of your choosing

simple bibtex generator for any text with \cite{}

The easiest, and fastest way to run AI-generated Python code safely

Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

CMake for C++ Best Practices

The missing CMake project initializer

Modern C++ puzzles.

Easy to use C++17 HTTP Server with no compromise on performances. https://matt-42.github.io/lithium

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Official supported Python bindings for llama.cpp + gpt4all

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Simple UI for LLM Model Finetuning

Locally run an Instruction-Tuned Chat-Style LLM

FasterAI: Prune and Distill your models with FastAI and PyTorch

parametric visualization for Sena Celebi's tokyo pop work. (accessible at: https://senacelebi.com/Bowilooks)

The NEST simulator

Brian is a free, open source simulator for spiking neural networks.

My take on Project Euler with C++20 and range-v3

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies