blackpearl1022

dynabench

mlcontests.github.io

A list of public machine learning/data science/AI contests.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Machine-Learning-Engineer-Roadmap

this is for myself, development roadmap

satellite-thermal-geo-localization

[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"

Satellite-Imagery-Road-Extraction

GeoSeg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

DenseUAV

Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments（Accepted by IEEE TIP）

University1652-Baseline

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.

s1s2_water

S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images

ConvNeXt-V2

Code release for ConvNeXt V2 model

SatelliteImageSegmentation

Semantic segmentation of satellite images to produce pixel-by-pixel labels of important regions. This was a project for my MScA-32017 advanced machine learning class.

PFST

Official implementation of TGRS paper: "Pseudo Features Guided Self-training for Domain Adaptive Semantic Segmentation of Satellite Images"

Sentinel-2-Satellite-Images-Semantic-Segmentation-with-U-NET

Sentinel-2 Satellite Images Semantic Segmentation with U-NET

SatDrive-SegFL

MLDL '23 Project: Federated Learning and Semantic Segmentation for Autonomous Driving and Satellite Images Segmentation

vcpkgs_customized

Semantic_Segmentation_Satellite_Imagery

Identify and classify large and small assets in residential Houston that were potentially impacted by Hurricane Harvey using advanced segmentation techniques

qtbase

Qt Base (Core, Gui, Widgets, Network, ...)

go

The Go programming language

cpython

The Python programming language

vcpkg

C++ Library Manager for Windows, Linux, and MacOS

ruby

The Ruby Programming Language

aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

rails

Ruby on Rails

angular

The modern web developer’s platform

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-vpc-resource-controller-k8s

Controller for managing Trunk & Branch Network Interfaces on EKS Cluster using Security Group For Pod feature and IPv4 Addresses for Windows Node.

aws-sdk-java-v2

The official AWS SDK for Java - Version 2

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.