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/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
chester-w-xie/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
chester-w-xie/PyTorch-Deformable-Convolution-v2
Don't feel pain to use Deformable Convolution
chester-w-xie/mobile-vision
Mobile vision models and code
chester-w-xie/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
chester-w-xie/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
chester-w-xie/Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
chester-w-xie/ZenNAS
chester-w-xie/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
chester-w-xie/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
chester-w-xie/PlotNeuralNet
Latex code for making neural networks diagrams
chester-w-xie/loss-landscape
Code for visualizing the loss landscape of neural nets
chester-w-xie/NASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
chester-w-xie/Image-Classification-using-CNN-with-Multi-Input-using-MATLAB
This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input.
chester-w-xie/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
chester-w-xie/fsd50k-pytorch
Unofficial implementation of FSD50k baselines for Sound Event Recognition
chester-w-xie/AutoSpeech
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
chester-w-xie/MTLNAS
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
chester-w-xie/FairDARTS
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
chester-w-xie/unnas
Code for "Are labels necessary for neural architecture search"
chester-w-xie/CrossViT
Official implementation of CrossViT. https://arxiv.org/abs/2103.14899
chester-w-xie/nonparaSeq2seqVC_code
Implementation code of non-parallel sequence-to-sequence VC
chester-w-xie/continual_learning_papers
Relevant papers in Continual Learning
chester-w-xie/DynAE
chester-w-xie/ast
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
chester-w-xie/Focal-Transformer
Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
chester-w-xie/OWOD
(CVPR 2021 Oral) Open World Object Detection
chester-w-xie/AIM-Fewshot-Continual
chester-w-xie/nas-without-training
Code for Neural Architecture Search without Training (ICML 2021)
chester-w-xie/few-shot-NAS