Joshua Lochner's repositories
transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
chat-downloader
A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!
whisper-web
ML-powered speech recognition directly in your browser
chat-with-youtube
A browser extension that lets you chat with YouTube videos using Llama2-7b. Built using 🤗 Inference Endpoints and Vercel's AI SDK.
sponsorblock-ml
Automatically detect in-video YouTube sponsorships, self/unpaid promotions, and interaction reminders.
doodle-dash
Doodle Dash, an ML-powered web game that runs completely in your browser, thanks to Transformers.js!
commentblock
Automatically block spam and scam YouTube comments
twitch-chat-irc
A simple tool used to send and receive Twitch chat messages over IRC with python web sockets.
unarchiver.js
The simple, all-in-one, JavaScript unarchiver that runs in your browser!
youtube-transcript-api
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require a headless browser, like other selenium based solutions do!
youtube-dl
Command-line program to download videos from YouTube.com and other video sites
zeroshot-classifier
Notebooks for training universal 0-shot classifiers on many different tasks
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
twitch-reward-claimer
Tired of clicking "Click to claim a bonus!" to get channel points on twitch.tv? Use this Chrome extension to automatically claim channel point rewards.
youtube-comment-downloader
Simple script for downloading Youtube comments without using the Youtube API
doc-builder
The package used to build the documentation of our Hugging Face repos
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
SlimSAM
SlimSAM: 0.1% Data Makes Segment Anything Slim
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information