hirunima Goto Github PK
Name: Hirunima Jayasekara
Type: User
Location: USA
Blog: https://scholar.google.com/citations?user=CFJHvLcAAAAJ&hl=en&oi=sra
Name: Hirunima Jayasekara
Type: User
Location: USA
Blog: https://scholar.google.com/citations?user=CFJHvLcAAAAJ&hl=en&oi=sra
This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from multi-layer PCB boards.
Official pytorch implementation of CVPR2023 paper "Learning Conditional Attributes for Compositional Zero-Shot Learning"
Convolutional Neural Networks for Sentence Classification in Keras
Experiments with Deep Learning
High Quality Monocular Depth Estimation via Transfer Learning
End-to-End Object Detection with Transformers
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
:collision:Faster R-CNN from scratch written with Keras
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Classify mutually inclusive labeled data with pascal VOC
Official code for "Disentangling Visual Embeddings for Attributes and Objects" Published at CVPR 2022
Repository for 'Detecting Anomalous Solder Joints in Multi-Sliced PCB X-Ray Images: A Deep Learning Based Approach'
Notetaking while learning Dask for handling big data processing in Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Official Implementation of "Textcaps: Handwritten Character Recognition With Very Small Datasets" (WACV 2019).
Official Implementation of "TimeCaps: Learning from Time Series Data with Capsule Networks" paper.
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
Datasets, Transforms and Models specific to Computer Vision
Official Implementation of "Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach" paper (IEEE Sensors).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.