pslinge144

pslinge144's Stars

• facebookresearch/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.

  Language:Jupyter Notebook46.9k5.6k

• jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

  A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

  39965

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.5k1.4k

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  2.9k449

• MasterBin-IIAU/Unicorn

  [ECCV'22 Oral] Towards Grand Unification of Object Tracking

  Language:Python94887

• dawnlh/awesome-low-light-image-enhancement

  This is a resouce list for low light image enhancement

  Language:MATLAB1.4k211

• NirAharon/BoT-SORT

  BoT-SORT: Robust Associations Multi-Pedestrian Tracking

  Language:Jupyter Notebook896423

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k162

• deel-ai/xplique

  👋 Xplique is a Neural Networks Explainability Toolbox

  Language:Python62450

• spotify/basic-pitch

  A lightweight yet powerful audio-to-MIDI converter with pitch bend detection

  Language:Python3.4k260

• snap-research/EfficientFormer

  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

  Language:Python97893

• Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets

  Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

  Language:Jupyter Notebook31127

• IndustryEssentials/ymir

  YMIR, a streamlined model development product.

  Language:Python583151

• openvinotoolkit/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python3.7k653

• thuml/LogME

  Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

  Language:Python20118

• zengyi-li/NMCE-release

  Code for Neural Manifold Clustering and Embedding

  Language:Python578

• bismex/Awesome-vehicle-re-identification

  Awesome Vehicle Re-identification

  14132

• sacridini/Awesome-Geospatial

  Long list of geospatial tools and resources

  4.1k623

• wenhwu/awesome-remote-sensing-change-detection

  List of datasets, codes, and contests related to remote sensing change detection

  1.6k327

• makepath/xarray-spatial

  Raster-based Spatial Analytics for Python

  Language:Python82484

• jacobtomlinson/gpu-python-tutorial

  GPU Development in Python 101 tutorial

  Language:Jupyter Notebook25466

• jakubmonhart/mil_pytorch

  Multiple instance learning model implemented in pytorch

  Language:Python3411

• ContinuumIO/gtc2020-numba

  Numba tutorial for GTC2020

  Language:Jupyter Notebook3325

• pvigier/perlin-numpy

  A fast and simple perlin noise generator using numpy

  Language:Python29546

• AshishBora/csgm

  Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

  Language:Python21173

• AgaMiko/data-augmentation-review

  List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

  1.6k202

• CosmiQ/CosmiQ_SN7_Baseline

  The SpaceNet 7 Baseline Algorithm

  Language:Jupyter Notebook3314

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.4k5.6k

• iridiumblue/roc-star

  Loss function which directly targets ROC-AUC

  Language:Python24019

• yzhuoning/DeepAUC

  Stochastic AUC Maximization with Deep Neural Networks

  Language:Python172