igorgad

igorgad's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.6k48019.1k5.9k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k1.4k2457.9k

• Anjok07/ultimatevocalremovergui

  GUI for a Vocal Remover that uses Deep Neural Networks.

  Language:Python18.7k1601.4k1.4k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• jaakkopasanen/AutoEq

  Automatic headphone equalization from frequency responses

  Language:Python13.6k1887802.5k

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.5k1555431.1k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1954561.5k

• graviraja/MLOps-Basics

  Language:Jupyter Notebook6.1k94211k

• chainer/chainer

  A flexible framework of neural networks for deep learning

  Language:Python5.9k2812k1.4k

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k29246662

• archinetai/audio-diffusion-pytorch

  Audio generation using diffusion models, in PyTorch.

  Language:Python2k4043168

• Audio-AGI/AudioSep

  Official implementation of "Separate Anything You Describe"

  Language:Python1.7k6327120

• dvgodoy/dl-visuals

  Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

  1.4k322119

• acids-ircam/RAVE

  Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

  Language:Python1.4k44171186

• lmnt-com/diffwave

  DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

  Language:Python7902047113

• bahjat-kawar/ddrm

  [NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

  Language:Python59762954

• rdp/virtual-audio-capture-grabber-device

  free audio capture device to capture all the "wave out sound" that is playing on your speakers (i.e. record what you hear) for Windows Vista+. Releases downloadable in this package:

  Language:C++5885338183

• adefossez/julius

  Fast PyTorch based DSP for audio and 1D signals

  Language:Python43191124

• ilaria-manco/multimodal-ml-music

  List of academic resources on Multimodal ML for Music

  Language:TeX28514012

• brohrer/sharpened-cosine-similarity

  An alternative to convolution in neural networks

  Language:Python25413937

• Spijkervet/torchaudio-augmentations

  Audio transformations library for PyTorch

  Language:Python22721026

• cgarciae/treex

  A Pytree Module system for Deep Learning in JAX

  Language:Python21483117

• adobe-research/DeepAFx

  Third-party audio effects plugins as differentiable layers within deep neural networks.

  Language:Jupyter Notebook1909127

• yang-song/score_flow

  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

  Language:Python1368625

• moises-ai/moises-db

  Moises Source Separation Public Dataset

  Language:Python126775

• csteinmetz1/automix-toolkit

  Models and datasets for training deep learning automatic mixing models

  Language:Python97306

• electronicvisions/norse

  Deep learning for spiking neural networks

  Language:Python671319

• machine-learning-apps/wandb-action

  GitHub Action That Retrieves Model Runs From Weights & Biases

  Language:Python60706

• reseval/reseval

  Reproducible Subjective Evaluation

  Language:Python571245

• HackAudio/HackAudioPythonCode

  Language:Jupyter Notebook35101