Name: Romain Beaumont
Type: User
Company: @google
Bio: Interested in machine learning (computer vision, natural language processing, deep learning), node.js (network, bots, web), and programming in general
Location: Paris
Blog: http://rom1504.fr/
Romain Beaumont's Projects
π A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
Generate an adjective-animal name !
Turn any collection of files into a dataset
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.
Easily turn large sets of audio urls to an audio dataset.
Auto update and start flying-squid
Automatically create Faiss knn indices with the most optimal similarity search parameters.
Automatically create Faiss knn indices with the most optimal similarity search parameters.
Create Diablo2 bots with a powerful, stable, and high level JavaScript API.
:zap: Delightful Node.js packages and resources
Semantic search with embeddings: index anything
Minecraft bedrock level provider for disk and network with caching support
This is an example for the GenericBinaryTree lib
Un bot irc proposant des jeux et autres fonctionnalitΓ©s, plugin irssi
Camomile web front-end template based on AngularJS
Javascript client for Camomile REST API
Documentation (served at http://camomile-project.github.io)
Collaborative annotation of multimedia documents
Easily convert common crawl to a dataset of caption and document. Image/text Audio/text Video/text, ...
A chinese number converter in c++/Qt with unit tests
Client irc built with Qt (inspired by xchat)
Contrastive Language-Image Pretraining
Easily compute clip embeddings and build a clip retrieval system with them
Using pretrained encoder and language models to generate captions from multimedia inputs.
Converts messages exported from Facebook as HTML into convenient JSON
@Corgano's minecraft bot
GPU controlled Hetzner Cloud workers swarm for Crawling@Home project