ARCambridge / MXNet_linalg_examplesLinks
Examples of building probabilistic models with MXNet linear algebra operators
☆23Updated 7 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:
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Updated 7 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Research code need not be ugly.☆77Updated last year
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Convenient hyperparameter optimization☆14Updated last year
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Exponential Machines implementation☆42Updated 5 months ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- ☆45Updated 5 years ago
- Distributed Learning by Pair-Wise Averaging☆52Updated 7 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 6 years ago
- ☆16Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- A python wrapper for the PROPACK library☆51Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Hierarchical Image Representation☆10Updated last year
- ☆67Updated 7 years ago
- ☆19Updated 7 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- ☆10Updated 5 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago