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Visual_Transformer_code
This is the code for training MNIST dataset using visual Transformers through PyTorchmotion_heatmap_demo
The code lets you project the heat map with respect to the motion that takes place in the video. It also generates a depth image of summarized motion.Federated_vs_Centralized_Learning
The repository provides both the federated and centralized based learning on MNIST, CIFAR, and FashionMNIST using MLP and CNN based networks.SAM_inference
The code provides python code for performing segmentation using Facebook's recent Segment Anything Model (SAM). You can also used anaconda prompt to perform command-line inference.person_segmentation_background_swap
This code is for person segmentation and swapping background using pixellib packageSobel_Laplacian_Gaussian_Median_filters
This code applies Sobel and Laplacian filter for edge detection, Gaussian and Median filter for reducing noise from the images. This code does not use any builtin function of opencv.News-Scraper
The code scrapes the news based on the keyword provided using google search and nltk python package.Flower_classification
Flower_classification code for facebook AI pytorch challengeK-means-clustering_from_scratch
This is an implementation of K-means clustering from scratch to understanding its working based on distance measures.document_scanner
Scanning document from images using simple image processing techniques.self_training_pseudo_labels
The repository provides the code for training a single and two classifiers for self training strategies with pseudo labels.simple_unet
A TensorFlow Implementation of Simple U-Net architectureLinear_Regression_code
Linear Regression on Boston Housing Prices with and without available packagesgenerative_cartoon_gan
generate new cartoons using GANsNN_from_scratch
Implementation of three layer (input, hidden, and output) neural networks using numpy and matplotlib library pythonhistogram_equalization
Enhances the image using histogram equalizationpix2pix_train
This repository provides you with the code to implement pix2pix network architecture and train it on Facades Dataset.decision_tree_from_scratch
This is an implementation of CART (Classification and Regression Trees) from scratch and is tested on banknote authentication Data SetSimple-coding-examples
simple assignment based codes or coding examples in pythonred_ball_track
This code tracks the red ball in the videoPerson_invisibility_demo
Person invisibility demo using OpenCV and PythonLenet5_classic
This is the implementation of LeNet-5 convolutional neural network architecture using PyTorch.Face_Detect_OpenCV_SSD
Face Detection from Images and Videos using OpenCV and Deep LearningImage-Segmentation-Code
Demo codes for computer vision using MATLAB/PythonBisection_Method
This code is for Bisection Method with the number of iterations as stopping criteria.Object_detection_demo
This demo is for real-time object detection using Mobile SSDNet. Feel free to use the pre-trained networkInteractive_drawing_classification
The script is written for interactive drawing classification using deep learning techniques.Entity_Relationship_with_Knowledge_Graph
The code in this repository provides a simple and basic implementation of Enhanced Language Representation with Informative Entities (ERNIE) using various NLP packages.Land_Cover_Classification_Random_Forest
You can perform Land Cover Classification on Satellite Images using Random Forest and visualize the result using Earthpy package. Make sure to install the required packages and such asDCGAN-for-Fashion-MNIST
Train a DCGAN on Fashion MNIST for generating similar images.Avatar_Generation_PyAvataaars
With all the metaverse craze, here is the code for generating your personalized avatar using python. You just need to install the PyAvataaars package and install the gtk file from https://github.com/.../GTK-for-Windows-Runtime..., I opted for gtk3-runtime-3.24.29-2021-04-29-ts-win64.exe, install it and remember to check add to environment path. Personalize your avatar with different parameters such as skin color, hair color, hair type and more.skipgram_scratch
This repository implements skip-gram method for computing word embeddings. On the contrary to continuous-bag-of-words approach, Skip-gram uses the central world to predict the surrounding words.Deep_Image_Prior_Pytorch
This repository provides the code for training deep image prior networks for image denoising with pytorch.Love Open Source and this site? Check out how you can help us