Pinned Repositories
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.
AIM-Fewshot-Continual
ALCS
alive-progress
A new kind of Progress Bar, with real time throughput, eta and very cool animations!
DMA-Net
This repository provides a Pytorch implementation of DMA-Net
DPL_FCAC
This repository provide official implementation of the DPL method.
FCAC_datasets
Details of the datasets for Few-shot class-incremental audio classification
PlotNeuralNet
Latex code for making neural networks diagrams
research-method
论文写作与资料分享
research-tool
some useful tools for research work
chester-w-xie's Repositories
chester-w-xie/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
chester-w-xie/Awesome-AutoDL
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
chester-w-xie/Awesome-Incremental-Learning
Awesome Incremental Learning
chester-w-xie/CVPR21_PASS
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
chester-w-xie/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
chester-w-xie/DeepClustering
Methods and Implements of Deep Clustering
chester-w-xie/deit
Official DeiT repository
chester-w-xie/DER-ClassIL.pytorch
The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
chester-w-xie/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
chester-w-xie/FAASC
chester-w-xie/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
chester-w-xie/Few-shot-DA-via-MJDOT
mixup optimal transport for few-shot domain adaptation
chester-w-xie/FMGNN
source for FMGNN
chester-w-xie/fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
chester-w-xie/Localizing-Visual-Sounds-the-Hard-Way
Localizing Visual Sounds the Hard Way
chester-w-xie/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
chester-w-xie/NJUCS-Course-Material
南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 :rice:
chester-w-xie/NNM
The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.
chester-w-xie/online-continual-learning
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
chester-w-xie/psla
Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".
chester-w-xie/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
chester-w-xie/Self-Supervised-Learning-Overview
📜 Self-Supervised Learning from Images: Up-to-date reading list.
chester-w-xie/SFM
(ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
chester-w-xie/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
chester-w-xie/SPICE
chester-w-xie/TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
chester-w-xie/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
chester-w-xie/torch-time-stretch
Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
chester-w-xie/torchaudio-augmentations
Audio transformations library for PyTorch
chester-w-xie/vision-longformer