bidur-khanal Goto Github PK
Name: Bidur Khanal
Type: User
Company: Rochester Institute of Technology
Bio: Ph.D. in Imaging Science, Rochester Institute of Technology Research Interests: Deep learning, Continual Learning, Medical Image Analysis
Name: Bidur Khanal
Type: User
Company: Rochester Institute of Technology
Bio: Ph.D. in Imaging Science, Rochester Institute of Technology Research Interests: Deep learning, Continual Learning, Medical Image Analysis
Image augmentation library in Python for machine learning.
PyTorch implementation of Barlow Twins.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Unofficail pytorch implementation of BigBiGAN
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
This is a repository with scripts to train and test classifier for cifar100
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Correct Skewed pdf documents using Hough Line Transform and Fourier Transform
This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
The program is used to measure the distance between two lines in an image. Uses OpenCV image processing tools to extract two lines from real image, finds the region of interest and estimates the distance between the lines in real world coordinate based on the calibration information (length/pixel).
A memory-efficient implementation of DenseNets
Build a self driving car using deep reinforcement learning.
This repository contains the source code for our MICCAI 2024 paper titled 'Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.'
Deep Learning toolkit for Computer Vision
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Open MMLab Detection Toolbox and Benchmark
In this work we present a task-agnostic Multimodal Variational Aversarial Active Learning (M-VAAL) for sampling the most informative samples for annotation in various Medical Image Analysis Downstream tasks, such as segmentation, and classification.
A clean and readable Pytorch implementation of CycleGAN
This repository contains a resnet-18 based face classifier. It can be used to train/test RAFD dataset.
This project includes a python module with functions to send-receive SMS, get GPS coordinates, interfacing Raspberry Pi with GSM/GPS/GPRS module " A7 AI Thinker" using serial UART. It also has additional modules that enable the user to automatically connect to a wifi when SMS received in a format with UserName and Password (when interfaced with GSM module- A7 AI Thinker).
Contains home security/automation modules for motion detection and temperature alert (used Raspberry Pi Zero). Output trigger and module's setting could be configured from a computer software. Raspberry Pi Zero communicates through the TCP connection. The package keeps the log of motion detection and the temperature. It also has SMS alert features.
PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
Variational AutoEncoder + ResNet Transfer Learning
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
This is our working repository for the project - spine curvature estimation. It contains all the implementation codes and results of our approach.
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Basic Text Classification Codes
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
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.