nnaisense Goto Github PK

2017-learning-to-run

The Winning Solution for the Learning To Run Challenge 2017

bayesian-flow-networks

This is the official code release for Bayesian Flow Networks.

conditional-style-transfer

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

deep-iterative-surface-normal-estimation

Code repository for our paper: Deep Iterative Surface Normal Estimation

evotorch

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

evotorch-myosuite-starter

gmpda

Gaussian Mixture Periodicity Detection Algorithm

mage

Learning Action-Value Gradients in Model-based Policy Optimization

max

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

mems

Multimeasurement Generative Models

pgpelib

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.

pytorch_sym3eig

Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices

self-recog-as-optim

Source code for experiments presented in 'Self Recognition as Optimisation' at ALIFE 2022