MandarGogate

MandarGogate's Stars

• JuanFMontesinos/VoViT

  VoViT: Low Latency Graph-based Audio-Visual VoiceSeparation Transformer

  Language:Python338

• binwiederhier/ntfy

  Send push notifications to your phone or desktop using PUT/POST

  Language:Go17.3k665

• TeaPoly/PLCPA-ASYM-Loss

  The power-law compressed phase-aware asymmetric (PLCPA-ASYM) loss

  Language:Python91

• ml-explore/mlx-swift-examples

  Examples using MLX Swift

  Language:Swift46272

• JusperLee/TDANet

  An efficient speech separation method

  Language:Python21727

• keunwoochoi/kapre

  kapre: Keras Audio Preprocessors

  Language:Python918148

• KinWaiCheuk/nnAudio

  Audio processing by using pytorch 1D convolution network

  Language:Python98790

• neuralmagic/deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  Language:Python2.9k169

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.1k408

• jonashaag/pydct

  Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.

  Language:Jupyter Notebook275

• sungwon23/BSRNN

  Language:Python7112

• facebookresearch/facestar

  Facestar dataset. High quality audio-visual recordings of human conversational speech.

  Language:Python996

• facebook/docusaurus

  Easy to maintain open source documentation websites.

  Language:TypeScript54.4k8.2k

• microsoft/P.808

  This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

  Language:HTML20058

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python18.1k1k

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++6.6k345

• microsoft/DNS-Challenge

  This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

  Language:Python1k404

• Jungjee/RawNet

  Official repository for RawNet, RawNet2, and RawNet3

  Language:Python34956

• churichard/notabase

  A second brain for your knowledge, thoughts, and ideas.

  Language:TypeScript74170

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python64.7k7.6k

• cogmhear/avse_challenge

  COG-MHEAR Audio-Visual Speech Enhancement Challenge

  Language:Python299

• wichmann-lab/python-psignifit

  Python clone of psignifit providing basic functionality

  Language:Python5423

• huyanxin/DeepComplexCRN

  Language:HTML38798

• Rudrabha/Lip2Wav

  This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"

  Language:Python691152

• cogmhear/Intelligibility-Oriented-Audio-Visual-Speech-Enhancement

  Towards Intelligibility-Oriented Audio-Visual Speech Enhancement

  Language:Python132

• microsoft/Deep3DFaceReconstruction

  Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

  Language:Python2.1k438

• facebookresearch/denoiser

  Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

  Language:Python1.6k299

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.7k6.8k

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18k4.1k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript26.9k2.7k