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midas

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. C++, Golang, Python, R, Rust, Ruby implementations.

mlh-demo

Code Sample Requirements:

my-ieeextreme-sessions

My workshop IEEEXtreme 14.0

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

pygooglenews

If Google News had a Python library

python-qa-project-

This project is to showcase human interaction best practices

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pyutils

Useful, oft-repeated things for Python

recommendation-system-using-pyspark

Demonstrate how to use Analyse Data and make Rec approach using Spark MLliB

semantic-search

shems-fm-scrapper

Scrapper for Shems FM

solobnb

Airbnb-inspired single-page application geared toward solo travelers. Created with React, Redux, and Rails backend.

spot-the-mask-

A CNN model to identify if the image contains a mask

spot-the-mask-challenge-by_zindiweekendz

Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.

stackgan

tensorflow-license-plate-detection

The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

travel-agency-javafx

JavaFX project

tsne

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

twitter-rec-the-algorithm

Source code for Twitter's Recommendation Algorithm

udacity-deep-rl-navigation-project-

The First Project of DRL nano

umoji-hack

Solution to Umoji Hack

voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).

zindi-mask-weights

weights for zindi Spot the Mask