importJ

importJ's Stars

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python2.8k412

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.5k1.1k

• zhangbingliang2019/DAPS

  Code for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing"

  Language:Python303

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook61.8k31.4k

• joanne-b-nortier/UDiffSE

  Language:Jupyter Notebook172

• kaituoxu/Conv-TasNet

  A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

  Language:Python667149

• aleXiehta/WaveCRN

  WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

  Language:Jupyter Notebook3510

• thu-ml/Bridge-TTS

  Official codebase for "Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis" (https://arxiv.org/abs/2312.03491).

  1191

• JusperLee/TDANet

  An efficient speech separation method

  Language:Python21927

• ICDM-UESTC/DOSE

  DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement, Conference on Neural Information Processing Systems (NeurIPS), 2023

  Language:Python39

• alsdudrla10/DG

  Official repo for Discriminator Guidance.

  Language:Python15312

• judiebig/DR-DiffuSE

  Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.

  Language:Python363

• jannerm/ddpo

  Code for the paper "Training Diffusion Models with Reinforcement Learning"

  Language:Python31625

• UW-Madison-Lee-Lab/SFT-PG

  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023

  Language:Python235

• coqui-ai/open-speech-corpora

  💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

  1.3k136

• neillu23/CDiffuSE

  Conditional Diffusion Probabilistic Model for Speech Enhancement

  Language:Python20034

• yxlu-0102/MP-SENet

  Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

  Language:Python28444

• hsinyilin19/Discriminator-Constrained-Optimal-Transport-Network

  Language:Python263

• YUCHEN005/NASE

  Code for paper "Noise-aware Speech Enhancement using Diffusion Probabilistic Model"

  Language:Python812

• sony/diffiner

  Language:Python574

• ddlBoJack/Speech-Resources

  语音方向实验室/公司/资源/实习等，欢迎推荐或自荐

  48262

• sp-uhh/sgmse

  Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation

  Language:Python45470

• sp-uhh/storm

  StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

  Language:Python16522

• aliutkus/speechmetrics

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

  Language:Python887152

• ana-kuznetsova/rl_enhancement

  Language:Python1

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k841

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.2k1.9k

• XinmengXu/Selector-Enhancer

  4

• seorim0/DNN-based-Speech-Enhancement-in-the-frequency-domain

  DNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping method.

  Language:Python5014

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k2.2k