DhrLhj

DhrLhj's Stars

• Wechat-ggGitHub/Awesome-GitHub-Repo

  收集整理 GitHub 上高质量、有趣的开源项目。

  15.1k2981671.7k

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.7k65901.2k

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.3k1641.4k1.1k

• qingsongedu/time-series-transformers-review

  A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  2.5k601241

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k14261418

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.4k2289203

• hysts/pytorch_image_classification

  PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

  Language:Python1.4k2729303

• qingsongedu/awesome-AI-for-time-series-papers

  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

  1.2k523117

• piEsposito/blitz-bayesian-deep-learning

  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

  Language:Python9311573106

• cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

  Fully Convlutional Neural Networks for state-of-the-art time series classification

  Language:Python6762720203

• OATML/bdl-benchmarks

  Bayesian Deep Learning Benchmarks

  Language:Jupyter Notebook662231292

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  5425131

• js05212/BayesianDeepLearning-Survey

  Bayesian Deep Learning: A Survey

  50429062

• microsoft/robustlearn

  Robust machine learning for responsible AI

  Language:Python45592156

• y0ast/deterministic-uncertainty-quantification

  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

  Language:Python26771131

• pmorerio/dl-uncertainty

  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

  Language:Python2077736

• helme/ecg_ptbxl_benchmarking

  Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

  Language:Python19782987

• mims-harvard/Raindrop

  Graph Neural Networks for Irregular Time Series

  Language:Python16871437

• hmi88/what

  Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

  Language:Python1562620

• zmurez/MediaPipePyTorch

  Port of MediaPipe tflite models to PyTorch

  Language:Python1533638

• rajeevyasarla/UMSN-Face-Deblurring

  Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks

  Language:Python11882134

• emtiyaz/vadam

  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

  Language:MATLAB1109525

• Leezekun/ViTST

  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."

  Language:Python1103178

• TeaPearce/Bayesian_NN_Ensembles

  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

  Language:Jupyter Notebook857117

• HiLab-git/UGIR

  Uncertainty-Guided Interactive Refinement for Segmentation

  Language:Python58329

• rajeevyasarla/UMRL--using-Cycle-Spinning

  Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining

  Language:Python23226

• ritmininglab/CLIS

  Language:Python60

• MikeDoho/FT_Uncertainty_Comparison

  Language:Jupyter Notebook21

• DhrLhj/q-ppg

  Language:Python1000

• Pacmed/uncertainty-classification-tabular-data

  Experiments on uncertainty estimation for classification and risk prediction.

  Language:Python1301