venkanna37

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

croissant

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

OWSLib

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

TopoLoss

Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

open-cities-ai-challenge

Winners of the Open Cities AI Challenge competition

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Weighted-Boxes-Fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

EVA

EVA Series: Visual Representation Fantasies from BAAI

MogaNet

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

Learning-From-Data-A-Short-Course

Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

MissingDataChallenge

Scripts for the missing data challenge 2023

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

utae-paps

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

DND-Diko-WWWR

PolyWorldPretrainedNetwork

PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images

PyODM

A Python SDK for adding aerial image processing capabilities to your applications 🔌

open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

AI-RemoteSensing

model_nasa_rwanda_field_boundary_competition_gold

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

Yolo-to-COCO-format-converter

Yolo to COCO annotation format converter

image-to-coco-json-converter

Convert segmentation RGB mask images to COCO JSON format

JSON2YOLO

Convert JSON annotations into YOLO format.