hirunima Goto Github PK

axi_pcb_defect_detection

This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from multi-layer PCB boards.

canet-czsl

Official pytorch implementation of CVPR2023 paper "Learning Conditional Attributes for Compositional Zero-Shot Learning"

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

deep-learning-notes

Experiments with Deep Learning

demosaicing

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

detr

End-to-End Object Detection with Transformers

federated-learning

fedml

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).

fir-filter-deisgn

frcnn-from-scratch-with-keras

:collision:Faster R-CNN from scratch written with Keras

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

hirunima.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hit_detection

image

imagenet

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)

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

multi-label-classification

Classify mutually inclusive labeled data with pascal VOC

oadis

Official code for "Disentangling Visual Embeddings for Attributes and Objects" Published at CVPR 2022

outlier_exposure

Repository for 'Detecting Anomalous Solder Joints in Multi-Sliced PCB X-Ray Images: A Deep Learning Based Approach'

py-dask

Notetaking while learning Dask for handling big data processing in Python

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

textcaps

Official Implementation of "Textcaps: Handwritten Character Recognition With Very Small Datasets" (WACV 2019).

timecaps

Official Implementation of "TimeCaps: Learning from Time Series Data with Capsule Networks" paper.

tinyimagenet

vilt

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

vision

Datasets, Transforms and Models specific to Computer Vision

wifivideo

Official Implementation of "Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach" paper (IEEE Sensors).

wpnet