pli1988

pli1988's Stars

• minitorch/minitorch

  The full minitorch student suite.

  Language:Python1.8k347

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.1k6.4k

• karpathy/deep-vector-quantization

  VQVAEs, GumbelSoftmaxes and friends

  Language:Jupyter Notebook51943

• midas-research/audino

  Open source audio annotation tool for humans

  Language:JavaScript1k127

• novoic/surfboard

  Novoic's audio feature extraction library

  Language:Python42947

• jenellefeather/tfcochleagram

  tensorflow integration with mcdermottlab/pycochleagram

  Language:Jupyter Notebook185

• huggingface/awesome-papers

  Papers & presentation materials from Hugging Face's internal science day

  2k119

• xcmyz/FastSpeech

  The Implementation of FastSpeech based on pytorch.

  Language:Python855212

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.6k165

• jamiebuilds/the-super-tiny-compiler

  :snowman: Possibly the smallest compiler ever

  Language:JavaScript27.8k2.8k

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.6k581

• meokz/looking-to-listen

  Deep neural network (DNN) for noise reduction, removal of background music, and speech separation

  Language:Python16819

• magenta/ddsp

  DDSP: Differentiable Digital Signal Processing

  Language:Python2.9k330

• speechLabBcCuny/onssen

  An open-source speech separation and enhancement library

  Language:Python21136

• karpathy/pytorch-normalizing-flows

  Normalizing flows in PyTorch. Current intended use is education not production.

  Language:Jupyter Notebook83699

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.1k1k

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.4k827

• etzinis/two_step_mask_learning

  A two step optimization for sound source separation on the adaptive front-end domain

  Language:Python6616

• kastnerkyle/kastnerkyle.github.io

  Github blog

  Language:Jupyter Notebook377

• aliutkus/speechmetrics

  A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

  Language:Python887152

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.6k2.8k

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.8k159

• PetrochukM/HParams

  Configure Python functions explicitly and safely

  Language:Python1268

• eesungkim/Speech_Enhancement_DNN_NMF

  Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF

  Language:Python17359

• Kikyo-16/Sound_event_detection

  This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.

  Language:Python12227

• izk8/2018_SIOP_Machine_Learning_Winners

  Language:Jupyter Notebook2010

• izk8/2019_SIOP_Machine_Learning_Winners

  Language:Jupyter Notebook118

• sciforce/lyon

  Python port of Lyon's model calculation from Auditory Toolbox.

  Language:C2010

• sportdeath/audio_transport

  Interpolating between audio signals with optimal transport.

  Language:C++589