AI Agent Skills

Notebooks about Bayesian methods for machine learning

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Graph Neural Networks in Julia

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Message Passing Neural Networks for Molecule Property Prediction

A simple interface for editing natural photos with generative neural networks.

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

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learn…

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

Bayesian Optimization and Design of Experiments

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

Learning Convolutional Neural Networks with Interactive Visualization.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Transports, Middleware, and Networks for the Alloy project

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks