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bayesian-flow-networks
This is the official code release for Bayesian Flow Networks.MAX
Code for reproducing experiments in Model-Based Active Exploration, ICML 2019pgpelib
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 2017conditional-style-transfer
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transferdeep-iterative-surface-normal-estimation
Code repository for our paper: Deep Iterative Surface Normal EstimationMAGE
Learning Action-Value Gradients in Model-based Policy Optimizationpytorch_sym3eig
Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matricesgmpda
Gaussian Mixture Periodicity Detection Algorithmevotorch
EvoTorch is an advanced evolutionary algorithm library built directly on top of PyTorch and developed by the research scientists at NNAISENSE.mems
Multimeasurement Generative Modelsself-recog-as-optim
Source code for experiments presented in 'Self Recognition as Optimisation' at ALIFE 2022Love Open Source and this site? Check out how you can help us