Stars
Ready-to-run Docker images containing Jupyter applications
Audio fingerprinting and recognition in Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Manipulate audio with a simple and easy high level interface
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Stable Diffusion web UI
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Isolate vocals, drums, bass, and other instrumental stems from any song
List of articles related to deep learning applied to music
Deezer source separation library including pretrained models.
PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"
An implementation of audio source separation tools.
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固,暂停交互,请耐心等待】
Notebooks using the Hugging Face libraries 🤗
Official PyTorch implementation of StyleGAN3
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Repository for example code from The Nature of Code book
Machine Learning Toolkit for Kubernetes
A sidecar app which clones a git repo and keeps it in sync with the upstream.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning