larosi's Stars
lzl199704/RadImageGAN
stefp/FOR-species
QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
RobvanGastel/dinov2-finetune
Testing adaptation of the DINOv2 encoder for vision tasks with Low-Rank Adaptation (LoRA)
facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
ArmanMaesumi/OneNoise
Official repository for "One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns"
barakooda/3d_scene_segmentation
Example for scene segmentation using blender
cjrh/easycython
An easy way to convert a .pyx file into a .pyd file and avoid having to write a setup.py
QUVA-Lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
AlexeyPechnikov/pygmtsar
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
opengeos/HyperCoast
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
rpautrat/SuperPoint
Efficient neural feature detector and descriptor
Data-Observatory/DataCubeTraining
Data Cube Training Course Materials
nerfies/nerfies.github.io
yformer/EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Cartucho/vision_blender
A Blender addon for generating synthetic ground truth data for Computer Vision applications
OllieBoyne/BlenderSynth
Synthetic Blender Dataset Production
HHU-MMBS/RepresentationLearning_SS2023
Representation Learning MSc course Summer Semester 2023
tomn681/Liver-Segmentation
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pmneila/PyMCubes
Marching cubes (and related tools) for Python
visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
p-giakoumoglou/pyssl
Self-Supervised Learning in PyTorch
Yarroudh/segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
jmsaavedrar/ssl
A repository for self-supervised learning
dccuchile/beto
BETO - Spanish version of the BERT model
ShirAmir/dino-vit-features
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
conda-forge/miniforge
A conda-forge distribution.