100-days-of-ml-code

100 Days of ML Coding

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

ayanava-99

boston_gradient_decent

cnn_data_augmentation

In this technique, we generate new instances of images by cropping, flipping, zooming, shearing an original image.

codeswear

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

corona-virus-tracker

Various Web Scraping scripts to know about the latest news and apread of COVID-19 arround the globe

coursera_capstone

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

data-wrangling-with-python

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

decision-tree-implementation

Building a Decision Tree classifier from scratch :-)

deepfake-detection

Towards deepfake detection that actually works

emotion-recognition-neural-networks

Emotion recognition using DNN with tensorflow

envirus

face-detection-opencv

Basic python code to create a face detector with OpenCV's Haar Cascade classifier

feedback-analysis

first_docker_app

hr_analytics_av

invisibility-cloak

we replace the pixel values of the detected red color region with corresponding pixel values of the static background and finally generate an augmented output which creates the magical effect, converting our cloth into an invisibility cloak. To do this we use bitwise_and operation first to create an image with pixel values, corresponding to the detected region, equal to the pixel values of the static background and then add the output to the image from which we had segmented out the red cloth.

machine-learning

Contains notebooks for hyper-parameter tuning, model tuning

machine-learning-handbook

An overview of various ML and Deep Learning algorithms

neural-enhance

Super Resolution for images using deep learning.

newsapi-corona-virus

using news API to print the top 20 global news abot corona virus(CoVid-19)

pandas_exercises

Practice your pandas skills!

project-api-zomato-cuisine

For this project, we are using the Zomato API. Zomato APIs give you access to the freshest and most exhaustive information for over 1.5 million restaurants across 10,000 cities globally. Our Motivation for using Zomato API By Collecting the data using Zomato API one can recommend restaurants on the basis of user’s affinity to specific cuisines, establishment types, locations, and price bands. We can find out whether restaurant support online reservation or not. We can find what is the most popular and/ or exclusive/new at a given location & time.

project-instabot

Automate basic instagram functions(like, follow,unfollow...) in a structured way

pycon-2019-tutorial

Data Science Best Practices with pandas