Methods of Machine Learning Group Tübingen
Software by the Methods of Machine Learning Group at the University of Tübingen (formerly the Probabilistic Numerics Group at the MPI for Intelligent Systems)
Tübingen, Germany
Pinned Repositories
backpack
BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient
cabs
Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
DeepOBS
DeepOBS: A Deep Learning Optimizer Benchmark Suite
entropy-search
Entropy Search for Information-Efficient Global Optimization - JMLR v13
msvag
TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
pfos
Probabilistic Filtering ODE Solver
probabilistic_line_search
Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
Methods of Machine Learning Group Tübingen's Repositories
MethodsOfMachineLearning/cabs
Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
MethodsOfMachineLearning/entropy-search
Entropy Search for Information-Efficient Global Optimization - JMLR v13
MethodsOfMachineLearning/probabilistic_line_search
Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
MethodsOfMachineLearning/msvag
TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
MethodsOfMachineLearning/backpack
BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient
MethodsOfMachineLearning/DeepOBS
DeepOBS: A Deep Learning Optimizer Benchmark Suite
MethodsOfMachineLearning/pfos
Probabilistic Filtering ODE Solver