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:
- MPI Parallel framework for training deep learning models built in Theano☆54Updated 8 years ago
- Optimizers for machine learning☆183Updated last year
- Machine Learning Toolkit for Extreme Scale (MaTEx)☆111Updated 7 years ago
- Python/Cython wrapper for liblbfgs☆45Updated 7 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 5 years ago
- Extension to Theano for multi-GPU data parallelism☆20Updated 7 years ago
- Distributed NMF/NTF Library☆47Updated 8 months ago
- A python wrapper for the PROPACK library☆51Updated 8 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- ☆19Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Automatic differentiation for NumPy☆100Updated 10 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Updated 8 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Hyperparameter optimization for neural networks☆48Updated 11 years ago
- ☆23Updated 6 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 6 years ago
- Development Repository for GPU-accelerated GBDT training☆60Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 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
- mpi4py examples☆373Updated last year
- Pyculib - Python bindings for CUDA libraries☆98Updated 6 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year