aksy1999

aksy1999's Stars

• vinodjangid07/vinodjangid07.github.io

  Portfolio

  Language:CSS16648

• NTU-ROSE/RawNet2

  Language:Python4

• vivek3141/ghostbuster

  Ghostbuster: Detecting Text Ghostwritten by Large Language Models (NAACL 2024)

  Language:Python13018

• 31b4/Leetcode-Premium-Bypass

  Leetcode Premium Unlocker 2024

  Language:JavaScript3.3k299

• NATSpeech/NATSpeech

  A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

  Language:Python96899

• facebookresearch/encodec

  State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

  Language:Python3.5k304

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.7k

• LEEYOONHYUNG/BVAE-TTS

  Official implementation of BVAE-TTS

  Language:Python17233

• auspicious3000/contentvec

  speech self-supervised representations

  Language:Python46437

• facebookresearch/fairseq

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

  Language:Python30.4k6.4k

• nii-yamagishilab/PartialSpoof

  Language:Jupyter Notebook354

• MadryLab/photoguard

  Raising the Cost of Malicious AI-Powered Image Editing

  Language:Jupyter Notebook55744

• TakHemlata/SSL_Anti-spoofing

  This repository includes the code to reproduce our paper "Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation".

  Language:Python10325

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.2k519

• aneesh-aparajit/RAGAN

  Implementing Age Transformation using Generative Models.

  Language:Jupyter Notebook122

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.9k942

• asvspoof-challenge/2021

  ASVspoof 2021 Baseline Systems

  Language:Python20076

• jefflai108/ASSERT

  JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).

  Language:MATLAB5632

• rosinality/swapping-autoencoder-pytorch

  Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch

  Language:Python25547

• kakaoenterprise/Learning-Debiased-Disentangled

  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

  Language:Python998

• royorel/Lifespan_Age_Transformation_Synthesis

  Lifespan Age Transformation Synthesis code

  Language:Python580132

• yzyouzhang/AIR-ASVspoof

  Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"

  Language:Jupyter Notebook10828

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k658

• hearbenchmark/hear-eval-kit

  Evaluation kit for the HEAR Benchmark

  Language:Jupyter Notebook5517

• nttcslab/eval-audio-repr

  EVAR ~ Evaluation package for Audio Representations

  Language:Python422

• nttcslab/msm-mae

  Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations

  Language:Jupyter Notebook878

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.3k1.2k

• ahrm/UnstableFusion

  A Stable Diffusion desktop frontend with inpainting, img2img and more!

  Language:Jupyter Notebook1.3k86

• knazeri/edge-connect

  EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

  Language:Python2.5k532

• ghua-ac/end-to-end-synthetic-speech-detection

  Time-domain synthetic speech detection net (TSSDNet), having the classic ResNet and Inception Net style structures (Res-TSSDNet and Inc-TSSDNet), for end-to-end synthetic speech detection. They achieve the state-of-the-art performance in terms of EER on ASVspoof 2019 challenge and promising generalization capability tested on ASVspoof 2015.

  Language:Python6316