-image-compression-using-k_mean_clusturing

abstract-art-generation-dcgan

Abstract art enthusiasts, artists, and researchers can now delve into the realm of abstract art generation with the help of Deep Convolutional Generative Adversarial Networks (DCGANs). This GitHub repository provides an exciting framework for generating captivating abstract art using state-of-the-art machine learning techniques.

arable_land_and_nonarable_land_dectection_from_sataleite_images-

Welcome to the Arable and Non-Arable Land Detection using YOLO on Satellite Images GitHub repository! This project aims to address the issue of underutilized arable lands in Bangladesh by leveraging deep learning techniques to detect and differentiate between arable and non-arable lands from satellite images. By identifying these abandoned lands an

askme-----nlp_model_for_qa

This repository contains code and instructions for fine-tuning a pre-trained DistilBERT model on the TyDi QA dataset for question answering tasks using Hugging Face's Transformers library.

autoencoder

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cnn

coding-interview-university

A complete computer science study plan to become a software engineer.

cracking-the-coding-interview

Solutions to problems from "Cracking the Coding Interview 6E" by Gayle Laakmann McDowell

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

data-structures-and-algorithms

Data Structures and Algorithms implementation in Python

dcgan_for-generating-satelite-images

deeplearning-models

A collection of various deep learning architectures, models, and tips

deploying-_custom_object_detection_yolov5_restapi_deployment

This GitHub repository provides a small dataset challenge for training and evaluating a cats and dogs detection model using YOLOv5. YOLOv5 is a state-of-the-art object detection algorithm known for its speed and accuracy.

draggan

Code for DragGAN (SIGGRAPH 2023)

dream-shop

facerecognize_varification_detection_tensorflow

This project aims to provide an implementation of face recognition using the powerful FaceNet model. FaceNet is a deep learning model capable of generating high-quality face embeddings that capture unique facial features, enabling accurate face recognition.

fashiongancraft

FashionGANCraft is a cutting-edge GitHub repository dedicated to the creation and generation of stylish dress patterns using the power of Generative Adversarial Networks (GANs)

flowergen-flowergenerationwgan

This repository contains code for generating realistic flower images using a Wasserstein Generative Adversarial Network (WGAN). The WGAN is trained on The Oxford Flower dataset, which is a collection of high-quality flower images. The WGAN architecture consists of a generator and a critic (discriminator). The generator learns to generate synthetic

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gre-materials

A curated list of materials to prepare for the GRE.

gre2_prep

This is a guide for how one can prepare for GRE within a month's duration.

hacker_rank-

image_segmentation

images_classification_dnn-