amrahsmaytas Goto Github PK

imgsearchreversal

just_predicts

keras-vis

Neural network visualization toolkit for keras

learnopencv

Learn OpenCV : C++ and Python Examples

letswritecode

:mortar_board: code examples for Let's Write Code

mathematicalalgos

I this projects , we are trying to create algorithms for MATHEMATICAL simplification by using c++ which will help in reducing the time and energy required to solve them manually.

meshroom_colab_bin_gdrive

mixnmatch

Pytorch implementation of MixNMatch

ml-webapp-using-streamlit

A WebApp to depict an Binary Classification Machine Learning Model on Mushrooms showing whether it is edible or not using streamlit

naukri.com-job-analysis

This project helped me in polishing my skills like EDA , Data Visualization , statistics and predictive modelling skills.

neural-pose-transfer

Neural Pose Transfer by Spatially Adaptive Instance Normalization. In CVPR 2020

object-detection-app

Simple object detection app with streamlit

panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

predictaqi

pucho_fashion_predicts

recycle

Created recycling data set to test transfer learning for classification and object detection of recycling (glass bottles, metal cans and plastic bottles)

remove-bg

A Python API wrapper for removing background using remove.bg's API

rishikksh20

santander-customer-prediction

I this project "santander_customer_prediction" hosted on kaggle.com , i was able to score an accuracy of 90.2% for my LIGHTGBM model and just after few commits , i was in top 37% of kaggle's leader board , finally this was an great challenge , polished my skills and had a great success rate for my model.

sievenet

This is the unofficial implementation of SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

sis

Simple image search engine

steel-defect-detection

Steel is one of the most important building materials of modern times. Steel buildings are resistant to natural and man-made wear which has made the material ubiquitous around the world. To help make production of steel more efficient, this competition will help identify defects.The production process of flat sheet steel is especially delicate. From heating and rolling, to drying and cutting, several machines touch flat steel by the time it’s ready to ship. Today, Severstal uses images from high frequency cameras to power a defect detection algorithm. In this competition, you’ll help engineers improve the algorithm by localizing and classifying surface defects on a steel sheet.

streamlitapp

App built with Streamlit deployed on Azure App Service via Docker & Azure Container Registry

techolution_data_science_pre_assignment_on_web_scraping

Data_Science_Project_on_Web_Scraping_for_Techolution

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

thebestclassifier

This project helped me in polishing my skills of selecting "thebestclassifier" for any problem , some of which inlcudes svm,decision trees , logistic regression etc along with validation my scores by using different matrices.

tpu

Reference models and tools for Cloud TPUs.

unetgan

Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

videoclassification

Crime detection in cctv footage using deep learning

virtual-trial-room