Pinned Repositories
Activity-Recognition-Transition-API
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Advanced-Autonomous-Systems
Assignments and Projects for the UNSW Advanced Autonomous Systems Term 1 2019
AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
pybullet-gym-1
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Reliable-and-Interpretable-AI-Cheatsheet-HS18
Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018
Reliable-and-Interpretable-AI-HS18
Assignments and projects for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018
snntorch
Deep and online learning with spiking neural networks in Python
verify_neural_networks
Project on Verification of Neural Networks using Linear Programming
manuelbre's Repositories
manuelbre/Reliable-and-Interpretable-AI-HS18
Assignments and projects for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018
manuelbre/Reliable-and-Interpretable-AI-Cheatsheet-HS18
Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018
manuelbre/Activity-Recognition-Transition-API
manuelbre/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
manuelbre/Advanced-Autonomous-Systems
Assignments and Projects for the UNSW Advanced Autonomous Systems Term 1 2019
manuelbre/AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
manuelbre/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
manuelbre/pybullet-gym-1
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
manuelbre/snntorch
Deep and online learning with spiking neural networks in Python