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2019-computefest

30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

30-days-of-python

A New Version of 30 Days of Python is nearly here. Get started today.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

air_quality_app

ajax-movie-recommendation-system-with-sentiment-analysis

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

all-hyperparamter-optimization

android-deep-learning-with-opencv

annomachine

approachingalmost

Approaching (Almost) Any Machine Learning Problem

attribute_extraction_for_images_using_hypotheses_cnn_pooling

Attribute_Extraction_for_Images_using_Hypotheses_CNN_Pooling

automl

Google Brain AutoML

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bayesian-methods-for-ml

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

bert-sentiment

bookmarker-api

Flask REST API Tutorial

bootstrap4-admin-dashboard

Sample Design of admin dashboard template using bootstrap 4

code_snippets

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

cookbook

The Data Engineering Cookbook

cotton-disease-prediction-deep-learning

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

coursera-university-of-washington

University of Washington

covid-19-detection

Detecting Covid-19 from X-ray

covid19_tracker

A dashboard to track COVID cases in the USA per state, Python, Dash