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Static analyzer for C/C++ based on the theory of Abstract Interpretation.
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
jq for binary formats - tool, language and decoders for working with binary and text formats
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
A Library for processing GPX, TCX, FIT and JSON files from services such as Strava, Movescount, Garmin, Polar etc
Pythonic AI generation of images and videos
An implementation of infotaxis based on the paper "‘Infotaxis’ as a strategy for searching without gradients"
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
Command line utilities for quantified-self type activities
audible feedback on just how much your browsing feeds into google
Learn the Zig programming language by fixing tiny broken programs.
You like pytorch? You like micrograd? You love tinygrad! ❤️
An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
Adaptive gradient descent without descent
Supplementary resources for the AWS Lambda Developer Guide
This is an example application that uses the Polar Open AccessLink API. https://polar.com/developers
Bombermaaan is inspired on the classic Bomberman game.
A Software Framework for Neuromorphic Computing
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.