Pinned Repositories
Context-Aware-Representation-Crop-Yield-Prediction
Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
ConvNeXt
Code release for ConvNeXt model
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
captum
Model interpretability and understanding for PyTorch
Context-Aware-Representation-Crop-Yield-Prediction-1
Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
Gap-Filling-of-Soil-Moisture
Code for paper Gap Filling of High-Resolution Soil Moisture for SMAP/Sentinel-1: A Two-Layer Machine Learning-Based Framework .
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pytext
A natural language modeling framework based on PyTorch
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
HannaMao's Repositories
HannaMao/Gap-Filling-of-Soil-Moisture
Code for paper Gap Filling of High-Resolution Soil Moisture for SMAP/Sentinel-1: A Two-Layer Machine Learning-Based Framework .
HannaMao/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
HannaMao/pytext
A natural language modeling framework based on PyTorch
HannaMao/captum
Model interpretability and understanding for PyTorch
HannaMao/Context-Aware-Representation-Crop-Yield-Prediction-1
Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
HannaMao/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.