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m3d-cam

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mlrgisi

neural-image-captioning-with-object-detection-and-attention-mechanism

Image captioning is a task which lies in the intersection of areas of object detection and natural language processing. We will be proposing a, model which will be utilizing both the areas of CV and NLP for the automatic generation of the captions of the given image. Model that we are going to propose mimics the human visual system that automatically describe image content. Main idea of our model is that rather than focusing on the whole image it is better to focus on particular areas like the areas where objects are present in the image. Our model consists of two sub model, first sub model or an encoder consist of object detection part which is used to identify the object in the given image along with their spatial location and finally making annotation vector consist of object features and their spatial feature. Second sub model or decoder consist of RNN based LSTM network along attention network which produce a context vector based on annotation vector at a particular time and finally at each step LSTM takes input of attention network along with the other input to generate caption of a given image. Experimental result on the MSCOCO dataset shows that our model outperforms previous benchmark models.

nih-chest-x-rays-multi-label-image-classification-in-pytorch

Multi-Label Image Classification of Chest X-Rays In Pytorch

numpy-

plds

The Penalized Linear Dynamical System Project

pytorch-deep-image-steganography

A PyTorch implementation of image steganography utilizing deep convolutional neural networks

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-learners-tutorial

PyTorch tutorial for learners

pytorch-lr-finder

A learning rate range test implementation in PyTorch

quine-mccluskey-implementation

quiz_project

Multiple choice question quiz

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

tailcalibx

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models.

tsne-for-images

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

web

website

webcammotiondetector

use to detect moving object capture from computer webcam

website

website-blocker