WeiHongLee
Research Associate at University of Edinburgh, working on multi-task/domain learning and learning visual models from limited supervision.
University of EdinburghEdinburgh
WeiHongLee's Stars
tensorflow/models
Models and examples built with TensorFlow
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
zlotus/notes-LSJU-machine-learning
机器学习笔记
SimonVandenhende/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
VICO-UoE/DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
alexandonian/pretorched-x
Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.
PengBoXiangShang/multigraph_transformer
IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"
SanghunYun/UDA_pytorch
UDA(Unsupervised Data Augmentation) implemented by pytorch
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
THeWakeSystems/fcc
Fiuggi Compiler Collection (FCC) is a high-performance compiler based on LLVM.
VICO-UoE/URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
VICO-UoE/KD4MTL
Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)
VICO-UoE/MTPSL
Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
VICO-UoE/UniversalRepresentations
Universal Representations: A Unified Look at Multiple Task and Domain Learning
YMJS-Irfan/DP-FedSAM
This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)
Huangxt57/MINI-Net
WeiHongLee/Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
ldeecke/mn-torch
Mode normalization (ICLR 2019).
WeiHongLee/Awesome-Multi-Domain-Multi-Task-Learning
An up-to-date list of works on Multi-domain Multi-task learning
VICO-UoE/TransferAD
Transfer-based anomaly detection (ICML 2021).
harlanhong/POINT
Code for CVPR2019 "Learning to Learn Relation for Important People Detection in Still Images "
VICO-UoE/L2I
Learning to Impute: A General Framework for Semi-supervised