A collection of various deep learning architectures, models, and tips

unet for image segmentation

A benchmark environment for fully cooperative human-AI performance.

potato: portable text annotation tool

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Deep Keyphrase Extraction using BERT

Clean, scalable and easy to use ResNet implementation in Pytorch

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Autoencoders using Keras

This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation

Contains notebooks related to various transformers based models for different nlp based tasks

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anom…

Repository to store solutions to Stats 507 problem sets [UofM Fall 2021]