srome / sklearn-hogwildLinks
An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.
☆20Updated 5 years ago
Alternatives and similar repositories for sklearn-hogwild
Users that are interested in sklearn-hogwild are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆45Updated 4 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago
- L4: Practical loss-based stepsize adaptation for PyTorch☆18Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 9 months ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Proceedings of ICML 2019☆33Updated 2 years ago
- ☆46Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- ☆61Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆26Updated 6 years ago