cserajdeep

Phd_Thesis_Latex_Template

Latex Template for Thesis

ViT-MNIST-DIGIT-CLASSIFICATION

Vision Transformers in PyTorch MNIST Handwritten Digit Recognition

C-in-Colab

Run C programs in Google Colab environment.

Eye-Activity-Detection-MediaPipe

Eye Activity Detection using Eye Aspect Ration and MediaPipe

ml_equations_latex

Classical ML equations in Latex, helps paper and blog writing

Multi-Template-Matching

Homepage of the project

NASA-Image-Downloader

Perceived-Attention

Plant-Disease-Detection

It is an offline classification of plant diseases using a transfer learning model

Video-Classification

Video Classification of the UCF50 - Action Recognition Dataset

YOLOv5-BCCD-Custom-Training

YOLOv5 custom training on BCCD dataset.

Efficient_remover_of_duplicate_images

Image Processing and Hashing-based duplicate image remover python code that can deal with different sizes, intensity, and grayscale.

Face-and-Gun-Dataset

Dataset for Object Detection Problem

Image-Path-Write-on-file

OOP-with-Python-OpenCV

Object-Oriented Programming with Python and OpenCV randomly generates day/night-time city landscapes with buildings and trees as objects.

sending-bulk-mails-python

Automate Bulk Mailing using Python

VIA-COCO-Converter-Repo

Python scripts to transform annotation formats, create a subset annotation file from original

C-File-Handling-Examples

C-File-Handling-Tutorial

DSA-Sparse-Matrix2Triplet

Sparse Matrix to Triplet and various triplet operations. e.g., transpose, addition, and multiplication.

ELM-Python-Iris

Different Python implementations of Extreme Learning Machine (ELM) on Iris dataset

Graph-Networkx-101

Basic Graph operations such as BFS, DFS, Shortest Path Length etc.

Image2Text

Python code to extract text from a given image

IMDB-Sentiment-Analysis

IMDB Sentiment Analysis using Logistic Regression and Support Vector Classifier

MaskRCNN-Kangaroo

Mask RCNN instance segmentation custom training on Kangaroo Dataset

News-Text-Classification

Noisy-MNIST-AE-TensorFlow

Noisy MNIST Digits Recognition

Plant-Disease-detection-Multiplatform-app

Plant diseases Classification using Deep Learning

Random-Image-Generation-and-Classification

Random Matrices with 0s and 1s have been generated and ResNet50 deep learning model has been employed to classify the types

Visual-Question-Answering-VQA

Visual Question Answering (VQA)

YOLACT-plus-plus

YOLACT++ instance segmentation custom training