Wei Xie's repositories
FCAC_datasets
Details of the datasets for Few-shot class-incremental audio classification
lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
sugar
Efficient Speech Processing Tookit for Automatic Speaker Recognition
audio-dataset
Audio Dataset for training CLAP and other models
SegFormer
Official PyTorch implementation of SegFormer
chester-w-xie
Config files for my GitHub profile.
torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
panel
A high-level app and dashboarding solution for Python
ConvNeXt
Code release for ConvNeXt model
PGCL
The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
research-method
论文写作与资料分享
vicreg
VICReg official code base
few-shot-transformer-tts
Byte-based multilingual transformer TTS for low-resource/few-shot language adaptation.
avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
a-PyTorch-Tutorial-to-Class-Incremental-Learning
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
self-label
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
VIMER
视觉预训练基础模型仓库
rethink-audio-fsl
Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
ISNAS-DIP
ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]
ifsl
[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation