ARCambridge / MXNet_linalg_examplesLinks
Examples of building probabilistic models with MXNet linear algebra operators
β23Updated 8 years ago
Alternatives and similar repositories for MXNet_linalg_examples
Users that are interested in MXNet_linalg_examples are comparing it to the libraries listed below
Sorting:
- stochs: fast stochastic solvers for machine learning in C++ and Cythonβ26Updated 3 years ago
- Deep exponential family models in MXNet/Gluon. Layers o' latents π€β17Updated 8 years ago
- Modular Probabilistic Programming on MXNetβ104Updated 2 years ago
- Research code need not be ugly.β77Updated 2 years ago
- Rectified Factor Networksβ37Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.β33Updated 9 years ago
- Exponential Machines implementationβ42Updated 7 months ago
- Probabilistic Programming and Statistical Inference in PyTorchβ111Updated 8 years ago
- Columbia Advanced Machine Learning Seminarβ24Updated 7 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tensoβ¦β68Updated 8 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connectionsβ20Updated 4 years ago
- β19Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018β35Updated 6 years ago
- Distributed Learning by Pair-Wise Averagingβ52Updated 7 years ago
- A Cython interface to FLANNβ24Updated 4 years ago
- β45Updated 5 years ago
- Ordered Weighted L1 regularization for classification and regression in Pythonβ52Updated 7 years ago
- β38Updated 7 years ago
- β16Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"β25Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machineβ16Updated 8 years ago
- Functional ANOVAβ27Updated 10 years ago
- Backpropagate derivatives through the Cholesky decompositionβ58Updated 5 years ago
- Implements an infinite sum of poisson-weighted convolutionsβ27Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carloβ24Updated 8 years ago
- Convenient hyperparameter optimizationβ14Updated last year
- This demo shows how to learn a neural network on top of decision treesβ32Updated 8 years ago
- Generalized Compressed Network Search with PyTorchβ26Updated 7 years ago
- A python wrapper for the PROPACK libraryβ51Updated 8 years ago
- Averaged Stochastic Gradient Descent Classifiersβ42Updated 13 years ago