Pinned Repositories
cpp-examples-ml
Legacy OpenCV Machine Learning Examples (2.4.x, C++)
DSBN
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
HCL
<Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
OSM_Streetblocks_extraction
This repository contains a Python script (Jupyter notebook) implementing extraction of street blocks from OpenStreetMap (or other sources of vectorial data) using PostGis
Paper-Implementations
Use PyTorch to implement some classic frameworks
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.
show-attend-and-tell
TensorFlow Implementation of "Show, Attend and Tell"
taskcv-2017-public
GISRS's Repositories
GISRS/HCL
<Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
GISRS/cpp-examples-ml
Legacy OpenCV Machine Learning Examples (2.4.x, C++)
GISRS/DSBN
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
GISRS/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
GISRS/OSM_Streetblocks_extraction
This repository contains a Python script (Jupyter notebook) implementing extraction of street blocks from OpenStreetMap (or other sources of vectorial data) using PostGis
GISRS/Paper-Implementations
Use PyTorch to implement some classic frameworks
GISRS/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.
GISRS/show-attend-and-tell
TensorFlow Implementation of "Show, Attend and Tell"
GISRS/taskcv-2017-public