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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 20192017-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-myosuite-starter
evotorch
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