Models and examples built with TensorFlow

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A toolbox to iNNvestigate neural networks' predictions!

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)

Pytorch code for semantic segmentation using ERFNet

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

Code for experiments regarding importance sampling for training neural networks

Open-source code for Generic Grouping Network (GGN, CVPR 2022)

A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.

Video Object Segmentation using Graph Neural Networks