Pinned Repositories
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
ControlVAE-ICML2020
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
DARPA-Predict-Model
Prediction models for CP5
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
DynamicVAE-CVPR2022
The source code of our DynamicVAE paper published at CVPR 2022
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
ZJU_paper_coding
Papers published in TSP,TPDS and ICASSP
shj1987's Repositories
shj1987/ControlVAE-ICML2020
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
shj1987/DynamicVAE-CVPR2022
The source code of our DynamicVAE paper published at CVPR 2022
shj1987/DARPA-Predict-Model
Prediction models for CP5
shj1987/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
shj1987/biobert
BioBERT: a pre-trained biomedical language representation model
shj1987/biobert-pretrained
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
shj1987/Biography--Huajie-Shao
Biography
shj1987/car-models
A car game to learn about simple vehicle dynamics in python
shj1987/chainer-disentanglement-lib
Unsupervised Disentanglement Representation Learning in Chainer
shj1987/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
shj1987/deep-symbolic-optimization
Source code for deep symbolic optimization.
shj1987/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
shj1987/Fourier_PINN
shj1987/image-similarity-measures
:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
shj1987/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
shj1987/jlab_datascience
shj1987/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
shj1987/PacRep
Packet Representation Learning for Traffic Classification
shj1987/phyre
PHYRE is a benchmark for physical reasoning.
shj1987/polynomial_nets
Official Implementation of the CVPR'20 paper 'Π-nets: Deep Polynomial Neural Networks' and its T-PAMI-21 extension.
shj1987/pymetamap
Python wraper for MetaMap
shj1987/RoboDepth
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
shj1987/scibert
A BERT model for scientific text.
shj1987/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
shj1987/shj1987.github.io
Personal Homepage
shj1987/srbench
A living benchmark framework for symbolic regression
shj1987/tensorly-notebooks
Tensor methods in Python with TensorLy
shj1987/the-gan-zoo
A list of all named GANs!
shj1987/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
shj1987/WirelessFL
FL with communication from Xiao