Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Sample Keras implementation of the Federated Learning (FL) for experimental research simulations.

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)

Early Prediction of Sepsis from Clinical Time Series Data

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Diagrams for visualizing neural network architecture (Created with diagrams.net)

AI Toolkit for Healthcare Imaging

Federated Learning Utilities and Tools for Experimentation

The repository provides both the federated and centralized based learning on MNIST, CIFAR, and FashionMNIST using MLP and CNN based networks.

MIMIC III v1.4 analysis. Mortality prediction through Deep Learning. 👻

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

A player reidentification challenge on Basketball images. An opportunity to publish at MMSports @ ACMMM and to win 2x $500.

Hecktor-2021 Challenge Task-2 (Prognosis) code

Automatically visualize your pandas dataframe via a single print! 📊 💡

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

User interface for Face recognition from video, webcam, cloud ZOOM recording

Lstm variational auto-encoder for time series anomaly detection and features extraction

Keras implementation of LSTM Variational Autoencoder

Keras implementation of LSTM-VAE model for anomaly detection

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

This repository is the official implementation of Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models