angadgill / Parallel-SGDLinks
Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.
☆26Updated 8 years ago
Alternatives and similar repositories for Parallel-SGD
Users that are interested in Parallel-SGD are comparing it to the libraries listed below
Sorting:
- noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing☆39Updated 7 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- Distributed NMF/NTF Library☆51Updated 11 months ago
- An implementation of SVM+☆26Updated 9 years ago
- ☆66Updated 5 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 12 years ago
- Proceedings of ICML 2018☆39Updated 2 months ago
- ☆67Updated 7 years ago
- ☆38Updated 7 years ago
- Efficient LDA solution on GPUs.☆24Updated 7 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- Distributed learning with mpi4py☆48Updated 6 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning☆18Updated 3 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Rectified Factor Networks☆37Updated 6 years ago
- ☆68Updated 2 weeks ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Updated 8 years ago
- Metric Learning to Rank☆46Updated 12 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 9 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago