Stars
A fully annotated baited underwater dataset of poor and fair visibility videos for the development of fish detection models and image pre-processing tools.
A Snakemake workflow and MrBiomics module for performing perturbation analyses of pooled (multimodal) CRISPR screens with sc/snRNA-seq read-out (scCRISPR-seq) powered by the R package Seurat's meth…
A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
A Snakemake workflow and MrBiomics module for processing and visualizing (multimodal) sc/snRNA-seq data generated with 10X Genomics Kits or in the MTX matrix file format powered by the R package Se…
A Snakemake workflow and MrBiomics module for easy visualization of genome browser tracks of aligned BAM files (e.g., RNA-seq, ATAC-seq, scRNA-seq, ...) powered by the wrapper gtracks for the packa…
A Snakemake workflow and MrBiomics module for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
A Snakemake workflow and MrBiomics module for performing and visualizing differential analyses of NGS data powered by the R package limma.
A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e…
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
MrBiomics: Composable modules and recipes automate bioinformatics for multi-omics analyses
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
Iberian Mammal camera trap detector and classifier based on YOLOv8. Hierarchical classification.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
DomainBed is a suite to test domain generalization algorithms
D2Go is a toolkit for efficient deep learning
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
Refine high-quality datasets and visual AI models
Torchreid: Deep learning person re-identification in PyTorch.
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Runner-Up)
Image-to-Image Translation in PyTorch
Software that can perform photorealistic style transfer without the need of any post-processing steps.