vlimant / mpi_learnLinks
Distributed learning with mpi4py
☆48Updated 6 years ago
Alternatives and similar repositories for mpi_learn
Users that are interested in mpi_learn are comparing it to the libraries listed below
Sorting:
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- ☆67Updated 7 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- A python wrapper for the PROPACK library☆51Updated 8 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆111Updated last year
- Automatic differentiation for NumPy☆102Updated 10 years ago
- ☆18Updated 7 years ago
- MPI Parallel framework for training deep learning models built in Theano☆54Updated 8 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Hyperparameter optimization for neural networks☆48Updated 12 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 6 months ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- A Cython interface to FLANN☆24Updated 5 years ago
- Extension to Theano for multi-GPU data parallelism☆20Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 6 years ago
- ☆23Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Machine Learning Toolkit for Extreme Scale (MaTEx)☆111Updated 7 years ago
- ADMM on Apache Spark☆31Updated 10 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 9 years ago
- ☆68Updated this week
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago