Some of the Projects by our graduates
Fighting Malaria with Machine Learning
Eduardo Peire used deep learning, paired with a cheap smartphone microscope, to create an app that can diagnose malaria from a blood sample – which used to take a technician hours using state-of-the-art equipment.This project is now successfully going through crowdfunding, and will soon be making a real difference in the fight against malaria.
Virtual gym trainer
Our chosen model approaches this by utilizing a temporal convolutional network to construct the 3D points. They abstracted this a level further by inferring a semantic encoding, which can be used for classification of the exercise and for generation of idealized form.
PUPAL - USING DEEP LEARNING TO DETECT TIREDNESS AND DISTRACTION WHILE DRIVING OR AT WORK
DIAGNOSING SKIN CANCER USING MACHINE LEARNING
Dr. Juliana Du is a doctor in Human Genetics. She enrolled at DSR as part of Batch 13, and ended up building an app that uses computer vision to diagnose melanoma in humans.
FAKE NEWS DETECTOR FOR THE TECH INDUSTRY WITH DEEP learning
FORECASTING SOLAR ENERGY PRODUCTION USING MACHINE LEARNING
Dr. Setareh Sadjadi was a chemical engineer in DSR Batch 13. She wanted to produce a project relating to climate change and the promotion renewable energy usage. She wrote a script to predict and forecast the photovoltaic power from a solar-panelled roof.
BUILD A ROAD SIGN DETECTOR FROM SCRATCH
PREDICTING THE PETROL PRICES IN GERMANY
Christian Lübbe is a PhD holder in Math, Lecturer at the University of Oxford and a participant of Data Science Retreat, Batch 14. His project at DSR aimed at “Predicting the petrol prices in Germany”
If you would rather see some code
RECOMMENDER SYSTEMS FOR GITHUB USERS
Collaborative filtering (Alternating least squares (ALS) and the Universal Recommender (UR)) are evaluated to recommend interesting repositories for GitHub users according to their preferences: forks and stars.
CoMNIST: CYRILLIC-ORIENTED MNIST, used to learn the alphabet by comparing hand drawn doodles to letters
A repository of images of hand-written Cyrillic and Latin alphabet letters for machine learning applications. CoMNIST also makes available a web service that reads drawing and identifies the word/letter you have drawn.
IPALOT: AN INTELLIGENT PARKING LOT
Control system for a parking lot based on reinforcement learning, where an AI can take control of the customer’s car and dispach/retrieve it to/from a designated parking spot.
SENSOR FUSION BY DEEP LEARNING FOR AUTONOMOUS DRIVING
This repo shows how to train a toy self driving car to run laps on a circuit. This was before ‘donkey cars’ were a thing; all hardaware an software lovilingly crafted by Marcus Jones. It’s a CNN model to decide the direction while driving, and a deconvolution mask for visulization to diagnose driving errors – what did the trained CNN model ‘see’ that caused ‘confusion’?
REAL-TIME AI-POWERED TRANSLATION OF AMERICAN SIGN LANGUAGE TO TEXT
It translates American Sign Language (ASL) to fingerspelled alphabet (26 letters) using transfer learning to extract features. This model is a real-time system with OpenCV – reading frames from a web camera and classifying them frame-by-frame.
THE RAIMONES - MAKING PUNK ROCK GREAT AGAIN
With 130 songs in MIDI format of Ramones and the lyrics of all their 178 songs, a deep learning model was trained to write guitar and bass lines for Ramones-inspired music.