New Delhi

Nikhil Tomar

Elite
@nikhilroxtomar

AI Researcher | YouTuber | Blogger

Deep-Residual-Unet. ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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Semantic-Segmentation-Architecture. A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.

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UNet-Segmentation-in-Keras-TensorFlow. UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

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Multiple-Client-Server-Program-in-C-using-fork. A simple tcp client server application that describes the communication between the client and a server. The server is a simple echo sever that can handle multiple client using fork.

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TGANet. TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]

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Chatroom-in-C. A simple Chatroom built in C programming language. The program is built uses multithreading for handling multiple clients.

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Retina-Blood-Vessel-Segmentation-in-PyTorch. This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.

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Polyp-Segmentation-using-UNET-in-TensorFlow-2.0. Implementing polyp segmentation using the U-Net and CVC-612 dataset.

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Human-Image-Segmentation-with-DeepLabV3Plus-in-TensorFlow. DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

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Unet-with-Pretrained-Encoder. The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.

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Remove-Photo-Background-using-TensorFlow. In this program, we are using image segmentation to remove the background from photos.

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Multiclass-Segmentation-in-Unet. Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.

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File-Transfer-using-TCP-Socket-in-C. A simple TCP client-server program written in C. In this program the client read a file and send its data to server. The server then receives the data and write it in a text file.

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TCP-Client-Server-Implementation-in-C. An implementation of TCP client-server architecture in the C programming language, where both the client and server can communicate with each other.

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FANet. FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation [IEEE Transactions on Neural Networks and Learning Systems]

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Semantic-Segmentation-Mask-to-Bounding-Box. This repository contains the code for extracting bounding box coordinates from a binary segmentation mask.

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Flower-Image-Classification-using-Vision-Transformer. The repository contains the code for the flower image classification using Vision Transformer in the TensorFlow

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DDANet. DDANet: Dual Decoder Attention Network for automatic Polyp Segmentation [International Conference on Pattern Recognition 2021]

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Multithreaded-File-Transfer-using-TCP-Socket-in-Python. A multithreaded file transfer client-server program build using a python programming language.

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File-Transfer-using-TCP-Socket-in-Python3. A simple client-server program, where client send a file to server.

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DCGAN-on-Anime-Faces. The respository contains the code for the Deep Convolutional Generative Adversarial Network (DCGAN) trained on the anime faces dataset.

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TransResUNet. TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation

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Simple-Operating-System-from-Scratch. A simple operating system build from scratch using C and assembly language. The code includes a make file that will help you to run this whole program.

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Unet-for-Person-Segmentation. U-Net for person segmentation in TensorFlow using Keras API.

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UNET-Segmentation-on-CT-Scan-Images-in-TensorFlow-2.0. The repository contains the code for UNET segmentation on CT scan dataset in TensorFlow 2.0 framework.

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Extract-Frame-from-Videos. A simple piece of code written in Python that will help you to extract the frame from a video or a set of video at once.

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Retina-Blood-Vessel-Segmentation-using-UNET-in-TensorFlow. This repository contains the code for the Retina Vessel Segmentation (DRIVE) using the UNET architecture in TensorFlow 2.0

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UDP-Client-Server-Program-in-C. A simple UDP Client Server program written in C language

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Background-Removal-using-Deep-Learning. The repository contains the code for removing the background human image using deep learning (semantic segmentation)

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Lung-Segmentation-in-TensorFlow-2.0. This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.

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Data-Augmentation-for-Semantic-Segmentation-Dataset. A simple code to apply data augmentation to your semantic segmentation dataset and then use it train your model.

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tcp-client-server-in-C. This is a simple TCP Client Server program in C language.

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Brain-Tumor-Segmentation-in-TensorFlow-2.0. Brain Tumor Segmentation dataset using TensorFlow

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Multiclass-Segmentation-on-Crowd-Instance-level-Human-Parsing-CHIP-Dataset-using-UNET. Multiclass Segmentation using UNET on Crowd Instance-level Human Parsing (CHIP) dataset

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UNET-3-plus-Implementation-in-TensorFlow-and-PyTorch. Implementation of UNET3+ in TensorFlow & PyTorch

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Vision-Transformer-ViT-in-TensorFlow. Vision Transformer Implementation in TensorFlow

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DilatedSegNet. DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation

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Skin-Lesion-Segmentation-in-TensorFlow-2.0. This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

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Multiclass-Segmentation-in-PyTorch. This repository contains PyTorch implementations for multiclass image segmentation using the U-Net architecture. It focuses on segmenting multiclass weeds in agricultural images, demonstrating the effectiveness of deep learning models in precision agriculture.

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Human-Face-Segmentation-in-TensorFlow. This repository contains the code for Multiclass Segmentation on the human faces using Landmark Guided Face Parsing (LaPa) dataset in TensorFlow.

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RGB-Mask-to-Single-Channel-Mask-for-Multiclass-Segmentation. This repo contains the code for converting an RGB mask into a onehot encoded mask or a single channel grayscale mask, which can be easily used for multiclass segmentation.

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Large-File-Transfer-using-TCP-Socket-in-Python3. A simple file transfer program for transferring large file over a TCP client-serer program.

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Multi-Layer-Perceptron-in-Python. A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one.

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Binary-to-Decimal-using-Recurrent-Neural-Network. We are going to build a Binary to Decimal converter using RNN. We are going to build a RNN from scratch using python, no machine learning libraries are going to be used.

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Human-Face-Landmark-Detection-in-TensorFlow. This repository contains the code for Human Face Landmark Detection in TensorFlow using the pre-trained MobileNetv2 and the Landmark Guided Face Parsing (LaPa) dataset.

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Socket-Programming-Server-in-C-and-Client-in-Python. A simple TCP client-server program, where server in written in C programming language while the client is written in Python programming language.

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GradCAM-in-PyTorch. A simple implementation of GradCAM (Gradient-weighted Class Activation Mapping) using PyTorch and OpenCV.

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Introduction-to-TensorFlow. Jupyter Notebook

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Scrap-Images-from-Websites-using-BeautifulSoup. A simple program that extract or scrap the image from a website. It used requests and BeautifulSoup library for this task. This program help you to extract image and its respective alt attribute value from a website.

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Image-Captioning-with-CLIP-in-PyTorch. This repository contains an image captioning model built using CLIP as the image encoder (frozen) and a GRU-based decoder for text generation. The model is trained on the Flickr8k dataset to generate descriptive captions for images.

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VGG-Image-Annotator-Process-JSON-file. The code in this repository is used to parse the JSON file generated after annotating the images through the VGG Image Annotator tool designed by Visual Geometry Group.

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Human-Face-Detection-using-Haar-Cascade-in-OpenCV-Python. Python

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Autoencoder-in-TensorFlow. Python

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DCGAN-for-Fashion-MNIST. Python

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Word2vec. Jupyter Notebook

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nikhilroxtomar.

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Loading-Markers-from-MySQL-Database-and-Display-Them-on-Google-Maps. PHP

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Bag-of-Words-in-Python. Bag of Words Implementation in Python

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