Starred repositories
🔊 Text-Prompted Generative Audio Model
PaperBanana: Automating Academic Illustration For AI Scientists
A framework for efficient model inference with omni-modality models
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Get 10X more out of Claude Code, Codex or any coding agent
[ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang (Atlas) Wang, S…
Algorithm powering the For You feed on X
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.
Gemini Nano Banana / Pro watermark maintenance tool
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
Versatile downloader for audio, video, podcasts, PDFs and more. Available as CLI and Docker | 多功能下载工具，支持音视频、播客、PDF等，提供 CLI 和 Docker 两种方式
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages
Hydra is a framework for elegantly configuring complex applications
Share your VPN connection over hotspot or repeater! (root required)
A rule-based tunnel for Android.
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
A macOS menu bar app that enables system-wide navigation functionality for the side buttons on third-party mice.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Extend the Conditioning of Stable Diffusion to take Audio Embeddings Instead of Text Embeddings using Wav2Vec2-BERT model
This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"