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A self-supervised foundation ECG model for broad and scalable cardiac applications
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Source code repository for the study: "Uncovering ECG Changes during Healthy Aging using Explainable AI"
Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Tracker for issues specific to Linux and Mac in the Reborn client. If you have a general issue or non-system-specific feature request please go to dev.dota2.com
DALL·E Mini - Generate images from a text prompt
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
A cross-platform clone of an online 5-letter guessing word game “WORDLE” with additional game states and difficulty levels.
Machine learning program that detects Parkinson's disease from patients voice using Support Vector Machine classifier.
This is a machine learning program that predicts mines for submarines using Sound Navigation and Ranging (SONAR) data.
All Algorithms implemented in Python
This program predicts which team in the game DotA 2 (multiplayer online battle arena) will win by the end of the drafting phase.
This is a repository of different algorithmic trading strategies and concepts using statistical mathematics/ machine learning.
This program finds the most mentioned ticker on r/WallStreetBets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
This is a cognitive search program combining various BERT models to perform Q&A on PDF documents.
These notebooks were created for the course MME 26849: "Fundamentals of Deep Learning and TinyML"