| JunshengFu/vehicle-detection |
509 |
|
0 |
0 |
about 4 years ago |
0 |
|
20 |
gpl-3.0 |
Python |
| Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG). |
| nf-core/spatialtranscriptomics |
34 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Nextflow |
| Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics. |
| bingrao/vehicle-detection |
16 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
other |
Python |
| Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG). |
| adamcohenlab/invivo-imaging |
12 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Denoising and Demixing Pipeline for in vivo Voltage Imaging Data (SGPMD-NMF) |
| HARMONI-ELT/HSIM |
8 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| HSIM: HARMONI simulation pipeline |
| pnlbwh/TBSS |
7 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
other |
Python |
| Tract based spatial statistics using ANTs and FSL |
| jfnavarro/st_pipeline |
6 |
|
0 |
0 |
about 5 years ago |
26 |
January 22, 2026 |
0 |
other |
Python |
| ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format. |
| mraad/SpatialCrunch |
6 |
|
0 |
0 |
about 13 years ago |
0 |
|
0 |
|
Java |
| Crunch pipeline to perform a spatial join between a very large set of static points and a small set of dynamic polygons. |
| KnowlesLab/X-ORGIN |
5 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| XOrigin is a pipeline to estimate expansion origins from derived SNPs, which incorporate temporal and spatial heterogeneity. It is best suited for estimating refugia for species that experienced distributional shifts during last glacial maximum. The pipeline is dependent on SPLATCHE2 for spatially-explicit demographic simulations, and make use of the spatial statistics Psi to estimate expansion origins. |
