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Jiaxi Yang's Projects

ame icon ame

🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

autoalignv2 icon autoalignv2

[ECCV2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

bert icon bert

TensorFlow code and pre-trained models for BERT

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

dcgan-chestxray icon dcgan-chestxray

Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images

diffusion-gan icon diffusion-gan

(Pre-trained CelebA)Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

federated-learning icon federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

fedgraphnn icon fedgraphnn

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

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