Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
☆74Dec 30, 2020Updated 5 years ago
Alternatives and similar repositories for variance_reduced_neural_networks
Users that are interested in variance_reduced_neural_networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆28Jan 19, 2019Updated 7 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 10 years ago
- [ICLR'20] Learning to Learn by Zeroth-Order Oracle☆14Feb 7, 2020Updated 6 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆13Mar 24, 2023Updated 3 years ago
- ☆12Jun 17, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 8 years ago
- Notebook fitting a Bayesian Gaussian mixture model via stochastic variational inference w/ TensorFlow 2.0☆14Jun 13, 2019Updated 7 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 7 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- source for Stochastic Conjugate Gradient Algorithm with Variance Reduction☆10Nov 22, 2017Updated 8 years ago
- Online Variance Reduction☆15May 9, 2019Updated 7 years ago
- PHOENIX: a tool to infer biologically informed NeuralODEs describing genome-wide regulatory dynamics☆20May 8, 2024Updated 2 years ago
- ☆53Feb 27, 2023Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Dec 28, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repository contains code for my only numpy basic.☆25Aug 24, 2024Updated last year
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34May 8, 2020Updated 6 years ago
- [RSS 2024] Experiments for "iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping"☆10Mar 24, 2025Updated last year
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆217Mar 10, 2018Updated 8 years ago
- Practical Time Series Analysis (V), published by Packt☆13Jan 19, 2021Updated 5 years ago
- A simple implementation of adagrad☆17Mar 21, 2018Updated 8 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 7 years ago
- The Search for Sparse, Robustness Neural Networks☆11Mar 24, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆35Jun 17, 2022Updated 3 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 7 years ago
- C++ implementation of Logistic Regression with MPI parallelization☆13Nov 25, 2014Updated 11 years ago
- CS231N course☆21Apr 13, 2019Updated 7 years ago
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆19Oct 27, 2022Updated 3 years ago
- Python implementation of Bayesian optimization over permutation spaces.☆20Feb 27, 2022Updated 4 years ago
- On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975☆27Nov 18, 2020Updated 5 years ago
- Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization☆10Jan 18, 2017Updated 9 years ago
- ☆36Oct 20, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Oct 12, 2022Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Jun 14, 2019Updated 7 years ago
- a tiny database☆11Feb 16, 2016Updated 10 years ago
- Implementation of NAACL'19 Strong and Simple Baselines for Multimodal Utterance Embeddings☆10Jun 4, 2019Updated 7 years ago
- This is the project for IRM methods☆12Sep 13, 2021Updated 4 years ago
- Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).☆23Aug 19, 2025Updated 9 months ago