ARCambridge / MXNet_linalg_examples
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
- 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
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 8 years ago
- Convenient hyperparameter optimization☆14Updated 11 months ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Framework for deploying reinforcement learning agents in multiplayer games☆10Updated 8 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- ☆19Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- ☆12Updated 8 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- ☆16Updated 8 years ago
- Cephes Mathematical Functions library wrapped for Torch☆47Updated 9 years ago
- Exponential Machines implementation☆41Updated last month
- Large scale matrix factorization on GPU☆19Updated 8 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 8 years 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
- PyTorch bindings for openai-gemm☆20Updated 8 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- ☆20Updated 7 years ago
- ☆45Updated 5 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Updated 9 years ago