pxuan19

pxuan19's Stars

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python22.8k3481.5k6.3k

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2k1878182

• ranahanocka/MeshCNN

  Convolutional Neural Network for 3D meshes in PyTorch

  Language:Python1.6k46157316

• SimonVandenhende/Multi-Task-Learning-PyTorch

  PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

  Language:Python7611834113

• lorenmt/mtan

  The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

  Language:Python6671062109

• nickkunz/smogn

  Synthetic Minority Over-Sampling Technique for Regression

  Language:Python30893776

• easezyc/Multitask-Recommendation-Library

  MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

  Language:Python28521046

• zillow/quantile-forest

  Quantile Regression Forests compatible with scikit-learn.

  Language:Python202112124

• XuhanLiu/DrugEx

  Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

  Language:Python19682067

• chrisby/torchMTL

  A lightweight module for Multi-Task Learning in pytorch.

  Language:Python15710620

• DataverseLabs/pyinterpolate

  Kriging | Poisson Kriging | Variogram Analysis

  Language:Python147418526

• tomtang110/Multitask

  The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.

  Language:Python1273621

• GeostatisticsLessons/GeostatisticsLessonsNotebooks

  These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

  Language:Jupyter Notebook638028

• leizhang-geo/CNN-LSTM_for_DSM

  Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

  Language:Python522012

• xyj77/MCF-3D-CNN

  Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

  Language:Python471120

• SamComber/spacv

  Spatial cross-validation in Python.

  Language:Jupyter Notebook433314

• CcgAlberta/pygeostat

  Language:Python4061528

• ChengF-Lab/ImageMol

  Language:Python401011

• rufernan/RicePAL

  codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

  Language:MATLAB26228

• vinayakkarande/Crop-Yield-Prediction-Using-CNN-LSTM-

  Crop yield prediction on remote sensing data using CNN

  Language:Jupyter Notebook230111

• jaredwo/topowx

  TopoWx ("Topography Weather") is an open source framework written in Python and R for interpolating temperature observations at a topoclimatic spatial scale.

  Language:Python20318

• omidbazgirTTU/REFINED

  This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)

  Language:Python1913

• giscience-fsu/sperrorest

  Spatial error estimation and variable importance

  Language:R174343

• Tony607/Keras_BayesianOptimization

  How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology

  Language:Jupyter Notebook17307

• DickBrus/TutorialSampling4DSM

  R scripts for sampling for digital soil mapping

  Language:R151119

• suinleelab/DeepSHAP

  Experiments for DeepSHAP paper.

  Language:Jupyter Notebook14912

• DeanLym/3D-CNNPCA

  Code for 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels

  Language:Jupyter Notebook8104

• jlevy44/InteractionTransformer

  Extract meaningful interactions from machine learning models to obtain machine-learning performance with statistical model interpretability.

  Language:Python7252

• standing-o/Machine_Learning_Paper_Review

  Machine learning Paper review and code implementation

  Language:Jupyter Notebook42381

• purelyvivid/mtan-traced-dwa

  For Multi-Task Attention Network (MTAN), I propose a modified Dynamic Weight Average

  Language:Jupyter Notebook2100