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Lucas's Projects

clan icon clan

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

cwt-for-fss icon cwt-for-fss

Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".

dassl.pytorch icon dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

easyml icon easyml

An easy reading implementation of popular machine learning algorithm with cpp for the beginner.

edge-connect icon edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

ending_iss icon ending_iss

Official code for paper "Evolving Knowledge Mining for Class Incremental Segmentation"

ensemble_vlm icon ensemble_vlm

Official code for paper "Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models, ICML2024"

face_swap icon face_swap

End-to-end, automatic face swapping pipeline

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

feature_critic icon feature_critic

Feature-Critic Networks for Heterogeneous Domain Generalisation

ffjord icon ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

fixmatch-pytorch icon fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

gan_stability icon gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

imgaug icon imgaug

Image augmentation for machine learning experiments.

instagan icon instagan

PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

lightcnn icon lightcnn

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

ml-gcn icon ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

models icon models

Models and examples built with TensorFlow

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