Hao He

CIDA. [ICML 2020] Continuously Indexed Domain Adaptation

circuit-gnn. [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/

ProbGAN. [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees

SBL-LSTM-Net. [NeurIPS 2017][Oral] From Bayesian Sparsity to Gated Recurrent Nets

GatedFeedback-LSTM.pytorch. A Straightforward Pytorch Implementation of Gated Feedback RNNs

cs229t. Statistical Learning Theory (CS229T) Lecture Notes

pytorch-MNIST-CelebA-GAN-DCGAN. Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

GAN. Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

interview. Everything you need to prepare for your technical interview

bayesgan. Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

PPG2ABP. Jupyter Notebook