joshuaeh

joshuaeh's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook35.2k7491.3k8k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook14.1k2968563.3k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.8k1722.8k3k

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  9.2k279251.5k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8.4k611.6k919

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.8k75970776

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python4.2k44830665

• farizrahman4u/seq2seq

  Sequence to Sequence Learning with Keras

  Language:Python3.2k157242844

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.8k36194386

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.3k24151197

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.3k2185404

• philipperemy/n-beats

  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

  Language:Python8752143166

• laiguokun/multivariate-time-series-data

  805148171

• laiguokun/LSTNet

  Language:Python6772522170

• jckantor/ND-Pyomo-Cookbook

  A repository of Pyomo examples.

  Language:Jupyter Notebook3602019138

• mobook/MO-book

  Hands-On Optimization with Python

  Language:Jupyter Notebook20098158

• yuhao-nie/Stanford-solar-forecasting-dataset

  Stanford sky images and PV power generation dataset for solar forecasting related research and applications

  Language:Jupyter Notebook1453731

• Willcox-Research-Group/rom-operator-inference-Python3

  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

  Language:Python7261530

• openclimatefix/satflow

  Satellite Optical Flow with machine learning models

  Language:Python6046110

• jckantor/CBE40455

  Process Operations

  Language:Jupyter Notebook346027

• Soumyabrata/multilabel-unet

  Multi-label Cloud Segmentation Using a Deep Network

  Language:MATLAB33228

• CV-Application/WSISEG-Database

  17014

• Soumyabrata/solar-irradiance-estimation

  Estimating solar irradiance from the luminance of sky/cloud images

  Language:Jupyter Notebook12223

• Soumyabrata/cloud-coverage

  Minimalist working version of cloud coverage computation

  Language:Python9200

• Soumyabrata/color-channels

  Systematic analysis of color channels on sky/cloud images

  Language:Matlab420

• blinkinriley/cfbSimilarityScores

  Using CollegeFootballData to compare current teams to past teams

  Language:Python310

• jckantor/nbpages

  Command line tool to maintain a repository of Jupyter notebooks.

  Language:Jupyter Notebook32614

• jckantor/cbe60455

  Process Operations

  Language:Jupyter Notebook2101

• Soumyabrata/rough-sets

  Selecting and ranking visible light color channels in sky/cloud images

  Language:Matlab2403

• TACC/gateways19-hpc-in-the-cloud

  https://tacc.github.io/gateways19-hpc-in-the-cloud/

  Language:Jupyter Notebook118013