dgominski

dgominski's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.6k2271222.9k

• ExistentialAudio/BlackHole

  BlackHole is a modern macOS audio loopback driver that allows applications to pass audio to other applications with zero additional latency.

  Language:C15.6k124403605

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.5k345691.7k

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.9k279241.5k

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.7k17517644

• PyRetri/PyRetri

  Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

  Language:Python1.2k2241177

• Unity-Technologies/com.unity.perception

  Perception toolkit for sim2real training and validation in Unity

  Language:C#93537329178

• rstrudel/segmenter

  [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

  Language:Python8532271178

• lyndonzheng/Pluralistic-Inpainting

  [CVPR 2019]: Pluralistic Image Completion

  Language:Python6851875147

• naver/deep-image-retrieval

  End-to-end learning of deep visual representations for image retrieval

  Language:Python6512438101

• corentin-dfg/Satellite-Image-Time-Series-Datasets

  This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.

  2539123

• cvlab-stonybrook/DM-Count

  Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

  Language:Python22192953

• VSainteuf/pastis-benchmark

  Language:Jupyter Notebook20862239

• peymanbateni/simple-cnaps

  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

  Language:Python1169525

• EduinHSERNA/pyGEDI

  pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

  Language:Jupyter Notebook956543

• gtolias/how

  HOW local descriptors

  Language:Python9391211

• sizhuoli/TreeCountSegHeight

  Code for paper

  Language:Python824415

• gyrrei/ReforesTree

  🌴 A dataset for estimating tropical forest biomass based on drone and field data

  Language:Jupyter Notebook732212

• flyinglynx/Bilinear-Matching-Network

  Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".

  Language:Python704129

• jonathanventura/urban-tree-detection

  Language:Python622312

• rogerberm/pytorch-ncc

  Normalized Cross-Correlation in pytorch

  Language:Python40027

• Sjyhne/MapAI-Competition

  Language:Jupyter Notebook3741838

• jonathanventura/urban-tree-detection-data

  Dataset for training and evaluating tree detectors in urban environments with aerial imagery

  32412

• cienciaydatos/ai-challenge-trees

  Official repository for the "Identifying trees on satellite images" challenge from Omdena <> Ciencia & Datos

  Language:Jupyter Notebook3018119

• VinAIResearch/fsvc-ata

  Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments (ECCV 2022)

  Language:Python24530

• weecology/NeonTreeEvaluation_package

  R package for evaluating individual tree crown predictions against a diverse benchmark dataset

  Language:R246357

• adnan0819/Tree-Instance-Segmentation-using-Temporal-Structured-Images

  CVPR 2023 Data Contribution

  16201

• sizhuoli/Domain_adaptive_regression_GOL

  Language:Python3200