ssspringDaisy

ssspringDaisy's Stars

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.6k26849968

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.3k55701.2k

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k270514757

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.3k1551.4k1.1k

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python3.5k1022499

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.3k4476657

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python3k1572695

• microsoft/Graphormer

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  Language:Python2.2k29157348

• salesforce/awd-lstm-lm

  LSTM and QRNN Language Model Toolkit for PyTorch

  Language:Python2k63101488

• mdeff/cnn_graph

  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

  Language:Jupyter Notebook1.4k4354390

• maxjcohen/transformer

  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

  Language:Jupyter Notebook8731359165

• google/edward2

  A simple probabilistic programming language.

  Language:Jupyter Notebook6901711776

• kyle-dorman/bayesian-neural-network-blogpost

  Building a Bayesian deep learning classifier

  Language:Jupyter Notebook4871712105

• zhengchuanpan/GMAN

  GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

  Language:Python4421139108

• mirceamironenco/BayesianRecurrentNN

  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

  Language:Python2188440

• mcgrady20150318/BayesianNeuralNetwork

  a repo sharing Bayesian Neural Network recent papers

  21626138

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python2103078

• VincLee8188/GMAN-PyTorch

  Implementation of Graph Muti-Attention Network with PyTorch

  Language:Python15421331

• mborysiak/Time-Series-Forecasting-with-ARIMA-and-LSTM

  Language:Jupyter Notebook801020

• HKUDS/GPT-ST

  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

  Language:Python77256

• huyng/incertae

  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

  Language:Jupyter Notebook663311

• mourga/variational-lstm

  PyTorch implementation of Variational LSTM and Monte Carlo dropout.

  Language:Python56135

• sungyubkim/MCDO

  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

  Language:Jupyter Notebook56018

• JP-MRPhys/bayesianLSTM

  Bayesian LSTM (Tensorflow)

  Language:Python532224

• SeongokRyu/uq_molecule

  Uncertainty quantification of molecular property prediction using Bayesian deep learning

  Language:Python44119

• kazizzad/BDQN-MxNet-Gluon

  Efficient Exploration through Bayesian Deep Q-Networks

  Language:Jupyter Notebook375311

• Duvey314/austin-green-energy-predictor

  A machine learning model using weather data to predict MWH output of solar and wind farms in Texas.

  Language:Jupyter Notebook17217

• casact/rp-bnn-claims

  Individual Claims Forecasting with Bayesian Mixture Density Networks

  Language:TeX14283

• AmourWaltz/BayesLMs

  Project of IEEE/ACM TASLP “Bayesian Neural Network Language Modeling for Speech Recognition”

  Language:Jupyter Notebook8112

• CCWAO/BHGNN

  Language:Python4101