anasvaf

anasvaf's Stars

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++70.8k6472k7.7k

• coqui-ai/TTS

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  Language:Python35.6k2951.1k4.4k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k1.2k183.6k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.3k3253232.6k

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.5k471232.1k

• esphome/esphome

  ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.

  Language:C++8.6k1722683.7k

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python5k7974301

• lucidrains/lambda-networks

  Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

  Language:Python1.5k4628157

• declare-lab/tango

  A family of diffusion models for text-to-audio generation.

  Language:Python1.1k274988

• seth814/Audio-Classification

  Code for YouTube series: Deep Learning for Audio Classification

  Language:Jupyter Notebook5501742188

• qiuqiangkong/torchlibrosa

  Language:Python4716648

• justinsalamon/scaper

  A library for soundscape synthesis and augmentation

  Language:Python382810556

• mmalekzadeh/motion-sense

  MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

  Language:Jupyter Notebook326179105

• keonlee9420/Comprehensive-Transformer-TTS

  A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

  Language:Python324132041

• tulasiram58827/TTS_TFLite

  This repository is a collection of TTS Models in TFLite

  Language:Jupyter Notebook188161238

• nnstreamer/nntrainer

  NNtrainer is Software Framework for Training Neural Network Models on Devices.

  Language:C++1481468574

• kamalesh0406/Audio-Classification

  Pytorch code for "Rethinking CNN Models for Audio Classification"

  Language:Python12361331

• Audio-WestlakeU/McNet

  The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

  Language:Python1085813

• GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow

  In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

  Language:Python9491030

• BenjaminDoran/Urban-Sound-Classification

  Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers

  Language:Jupyter Notebook523224

• JaeBinCHA7/Nested-U-Net-based-Real-time-Speech-Enhancement-Mobile-App

  Real-time speech enhancement mobile app using Nested U-Net

  Language:Python45246

• MorenoLaQuatra/audioset-download

  This package aims at simplifying the download of the AudioSet dataset.

  Language:Python422213

• MTG/DCASE-models

  Python library for rapid prototyping of environmental sound analysis systems

  Language:Jupyter Notebook426205

• yinkalario/Sound-Event-Detection-AudioSet

  Language:Python41323

• squix78/esp32-tensorflow-microspeech

  ESP32 wake word detection with tensor flow

  Language:C++29425

• eagomez2/upf-smc-speech-enhancement-thesis

  Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario

  Language:Python25139

• Qinwen-Hu/SDCM

  Language:Python25106

• paloukari/OrcaDetector

  A VGGish-based DNN trained on the Watkins Marine Mammal Sound Database, with transfer learning from Audioset, to detect multiple marine mammal species.

  Language:Jupyter Notebook2352810

• IQTLabs/Audio-Sensor-Toolkit

  A guide and set of tools for working with TinyML powered Audio Sensors

  Language:C++2030

• multitel-ai/urban-sound-classification-and-comparison

  Urban Sound Classification : striving towards a fair comparison

  Language:Python17404