angadgill / Parallel-SGD
Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.
☆25Updated 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
- Parallel SGD, done locally and remote☆14Updated 8 years ago
- noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing☆36Updated 6 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 11 years ago
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Updated 5 years ago
- Optimize the order of execution for tf.einsum☆14Updated 7 years ago
- Parallelized SGD☆12Updated 12 years ago
- ☆19Updated 7 years ago
- upgrade official version of gcForest v1.0.☆21Updated 7 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Code for the Santa algorithm for deep learning☆17Updated 6 years ago
- ☆12Updated 3 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Mining Frequent Sequential Patterns under Differential Privacy☆16Updated 10 years ago
- Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.☆35Updated 8 years ago
- Tensor Factorization via Matrix Factorization☆34Updated 9 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 8 years ago
- Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow☆18Updated 6 years ago
- ☆9Updated 9 years ago
- Orthant-Wise Limited-memory Quasi-Newton Optimizer for L1-regularized Objectives☆9Updated 11 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- A library for hypergraphs and hypergraph algorithms☆28Updated 9 years ago
- Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"☆21Updated 6 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆16Updated 4 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- ☆10Updated 8 years ago
- An algorithm for classification from a graph-sparse support☆15Updated 6 years ago