Pinned Repositories
1001UsedCars_SalesPrice
1004_lab6
1007chatbot
1011_NMT
2020-ComputeFest
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
ars-reparameterization
Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
autoencoder-saliency
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
code_for_UIST
hzhz2020's Repositories
hzhz2020/2020-ComputeFest
hzhz2020/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
hzhz2020/autoencoder-saliency
hzhz2020/awesome-meta-learning
A curated list of Meta-Learning resources/papers.
hzhz2020/code_for_UIST
hzhz2020/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
hzhz2020/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
hzhz2020/Deep-Learning-with-TensorFlow-book
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
hzhz2020/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
hzhz2020/grf
Generalized Random Forests
hzhz2020/hugheslab-onboarding
Onboarding info for hugheslab (HPC cluster, etc.)
hzhz2020/hzhz2020.github.io
hz_website
hzhz2020/InterLUDE
Code for paper InterLUDE
hzhz2020/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
hzhz2020/ml-research-reading-lists
Useful Reading Lists on topics of active research (PI: Mike Hughes)
hzhz2020/PredictingSmileTypes
hzhz2020/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
hzhz2020/realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
hzhz2020/sanity_checks_saliency
hzhz2020/SemiSelfEvaluation
hzhz2020/SSL
hzhz2020/SSL-vs-SSL-benchmark
Code for benchmark comparing self-supervised and semi-supervised deep classifiers for medical images
hzhz2020/Super_PACMAN
hzhz2020/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
hzhz2020/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
hzhz2020/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
hzhz2020/toolkit
A set of useful tools for DL experiments, project templates, etc.
hzhz2020/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
hzhz2020/Tricks-of-Semi-supervisedDeepLeanring-Pytorch
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
hzhz2020/tufts_ml_website
Source code for the Tufts ML website