NNAISENSE

Popular repositories

1. MAX Public

   Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

   Python 63 13

2. 2017-learning-to-run Public

   The Winning Solution for the Learning To Run Challenge 2017

   Python 55 10

3. pgpelib Public

   A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.

   Python 38 3

4. conditional-style-transfer Public

   Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

   Python 33 7

5. MAGE Public

   Learning Action-Value Gradients in Model-based Policy Optimization

   Python 25 3

6. deep-iterative-surface-normal-estimation Public

   Code repository for our paper: Deep Iterative Surface Normal Estimation

   Python 19 3