nnaisense/evotorch

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Python
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Apache License 2.0
Created over 2 years ago
Updated over 2 years ago

nnaisense/evotorch

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EvoTorch is an advanced evolutionary algorithm library built directly on top of PyTorch and developed by the research scientists at NNAISENSE.

bayesian-flow-networks

This is the official code release for Bayesian Flow Networks.

MAX

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

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.

2017-learning-to-run

The Winning Solution for the Learning To Run Challenge 2017

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

MAGE

Learning Action-Value Gradients in Model-based Policy Optimization

pytorch_sym3eig

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

gmpda

Gaussian Mixture Periodicity Detection Algorithm

evotorch-myosuite-starter

Jupyter Notebook

mems

Multimeasurement Generative Models

self-recog-as-optim

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