StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

unofficial vits2-TTS implementation in pytorch

A python package to build AI-powered real-time audio applications

The implementation of paper "SpeechTripleNet: End-to-End Disentangled Speech Representation Learning for Content, Timbre and Prosody"

Sophisticated, battery-conscious background-geolocation with motion-detection

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Transcription, forced alignment, and audio indexing with OpenAI's Whisper

🦘 Explore multimedia datasets at scale

ML pipeline orchestration and model deployments on Kubernetes.

Chia plotting manager

Graph Neural Network Library for PyTorch

3D ResNets for Action Recognition (CVPR 2018)

Modified version of react-search-input (https://github.com/enkidevs/react-search-input) to work with react-native.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

A React component for playing a variety of URLs, including file paths, YouTube, Facebook, Twitch, SoundCloud, Streamable, Vimeo, Wistia and DailyMotion

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Make huge neural nets fit in memory

A Python module to decode video frames directly, using the FFmpeg C API.

Extract TVL1 optical flows in python (multi-process && multi-server)

A web video player built for the HTML5 world using React library.

A python implementation of Counterfactual Regret Minimization for poker

train on AWS

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

Tensorlang, a differentiable programming language based on TensorFlow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

📝 Today I Learned

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation