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Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
Official PyTorch Implementation of TransZero (AAAI'22)
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
Official PyTorch Implementation of CDE-GAN (TEVC'21)
Official PyTorch Implementation of GNDAN (TNNLS'22)
Official PyTorch Implementation of FREE (ICCV'21)
Official PyTorch Implementation of HSVA (NeurIPS'21)
⚡ Dynamically generated stats for your github readmes
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
A paper list of visual semantic embeddings and text-image retrieval.
PyTorch implementations of Generative Adversarial Networks.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
2012013382 / cvat
Forked from cvat-ai/cvatPowerful and efficient Computer Vision Annotation Tool (CVAT)
Google Research
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
Website for personal collection and previewing of LaTeX templates. Presented with Python/Jinja2.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Awesome-pytorch-list 翻译工作进行中......
Codebase for Image Classification Research, written in PyTorch.
Person Re-ranking (CVPR 2017)
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
State-of-the-art 2D and 3D Face Analysis Project
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf