Pinned Repositories
poppy
:hibiscus: Population-Based Reinforcement Learning for Combinatorial Optimization
all-optical-neural-networks
Supporting code for "End-to-end optical backpropagation for training neural networks".
cold-control
GUI for cold-atom physics experiments.
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
dynamical-disentanglement
Learning disentangled representations of dynamical environments.
eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
ecord
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
naqs-for-quantum-chemistry
Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
photon-pistol-analysis
Data analysis tools for the 'Photon Pistol' experiment.
rb-cqed
Modelling simple atoms and 87Rb in cavity-QED.
tomdbar's Repositories
tomdbar/eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
tomdbar/naqs-for-quantum-chemistry
Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
tomdbar/all-optical-neural-networks
Supporting code for "End-to-end optical backpropagation for training neural networks".
tomdbar/ecord
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
tomdbar/rb-cqed
Modelling simple atoms and 87Rb in cavity-QED.
tomdbar/dynamical-disentanglement
Learning disentangled representations of dynamical environments.
tomdbar/cold-control
GUI for cold-atom physics experiments.
tomdbar/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
tomdbar/photon-pistol-analysis
Data analysis tools for the 'Photon Pistol' experiment.
tomdbar/slm-atom-traps
Developing individually addressable atom-traps using a spatial light modulator.