MF-XU

MF-XU's Stars

• TideDancer/interspeech21_emotion

  Language:Python10120

• Kyoto-University-Speech-and-Audio/feng-asr-ser

  Language:Python106

• ddlBoJack/emotion2vec

  [ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

  Language:Python69452

• BIT-DA/SCDA

  [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"

  Language:Python222

• BIT-DA/DCAN

  [AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

  Language:Python339

• ECNU-Cross-Innovation-Lab/ENT

  [ICASSP 2024] Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition

  Language:Python181

• ShoufaChen/AdaptFormer

  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

  Language:Python33420

• habla-liaa/ser-with-w2v2

  Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'

  Language:Jupyter Notebook12723

• vision4robotics/UDAT

  Unsupervised Domain Adaptation for Nighttime Aerial Tracking (CVPR2022)

  Language:Python11215

• microsoft/robustlearn

  Robust machine learning for responsible AI

  Language:Python46157

• oezyurty/CLUDA

  Contrastive Learning for Domain Adaptation of Time Series

  Language:Python8312

• Trustworthy-AI-Group/TransferAttack

  TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

  Language:Python30543

• hbredin/DomainAdversarialVoiceActivityDetection

  Code for reproducing experiments in "Domain-Adversarial Voice Activity Detection"

  Language:Jupyter Notebook234

• phillipi/pix2pix

  Image-to-image translation with conditional adversarial nets

  Language:Lua10.2k1.7k

• zhshj0110/CSRE

  The official implementation of paper 'A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition'

  61

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.3k141

• jishengpeng/Languagecodec

  Language-Codec: Reducing the Gaps Between Discrete Codec Representation and Speech Language Models

  Language:Python21515

• TaoRuijie/ECAPA-TDNN

  Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

  Language:Python624115

• scutcsq/DWFormer

  DWFormer: Dynamic Window Transformer for Speech Emotion Recognition(ICASSP 2023 Oral)

  Language:Python553

• rayleizhu/BiFormer

  [CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

  Language:Python51041

• LeapLabTHU/DAT

  Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

  Language:Python81273

• HappyColor/DST

  Deformable Speech Transformer (DST)

  Language:Python272

• microsoft/AdaMix

  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).

  Language:Python12610

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k1.2k

• SegmentationBLWX/sssegmentation

  SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

  Language:Python818108

• XPixelGroup/HAT

  CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

  Language:Python1.3k158

• RanHao-cq/FLAMNet

  PyTorch implementation of the paper "FLAMNet: A Flexible Line Anchor Mechanism Network for Lane Detection".

  Language:Python162

• fudan-zvg/SeaFormer

  [ICLR 2023] SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation

  Language:Python30123

• cheng-haha/ScConv

  🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

  Language:Python28919

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k