pytorch tutorial for beginners

Interesting resources related to XAI (Explainable Artificial Intelligence)

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Pytorch implementation of convolutional neural network visualization techniques

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Unsupervised time series anomaly detection library

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

List of Computer Science courses with video lectures.