Pytorch optimizers implementing Hilbert Constrained Gradient Descent
☆19May 9, 2019Updated 7 years ago
Alternatives and similar repositories for hilbert-constrained-gradient-descent
Users that are interested in hilbert-constrained-gradient-descent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Jun 17, 2022Updated 4 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- Posterior Server☆16Nov 10, 2016Updated 9 years ago
- ☆33Jul 8, 2024Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆81Jul 17, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Aug 22, 2020Updated 6 years ago
- My YAML cv and resume.☆17May 10, 2026Updated 3 months ago
- Improving Neural Network Training in Low Dimensional Random Bases☆13Nov 17, 2020Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20May 12, 2023Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Jan 25, 2021Updated 5 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Apr 2, 2019Updated 7 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 8 years ago
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Mar 12, 2021Updated 5 years ago
- ☆14May 30, 2019Updated 7 years ago
- This repository contains the code for the paper "Can Transformers Learn Full Bayesian Inference In Context?"☆16Apr 6, 2025Updated last year
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- ☆11Jun 17, 2024Updated 2 years ago
- ☆12Jul 16, 2023Updated 3 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 11 years ago
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆13Oct 12, 2020Updated 5 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.
- Implements attacks and defenses for machine learning systems☆13May 7, 2017Updated 9 years ago
- ☆10Apr 28, 2017Updated 9 years ago
- Hypergradient descent☆148May 31, 2024Updated 2 years ago
- A fork of Jurgen Vangael's Infinite HMM matlab code☆12Mar 14, 2014Updated 12 years ago
- Implementation of "Designing Effective Inter-Pixel Information Flow for Natural Image Matting"☆11Mar 24, 2019Updated 7 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆25Oct 6, 2020Updated 5 years ago
- Exam summary for Computational Intelligence Lab, ETH Zurich, SS15☆13Aug 16, 2017Updated 9 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 9 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 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.
- ☆13Jul 25, 2024Updated 2 years ago
- SageMaker Studio Docker CLI Extension☆14Apr 17, 2024Updated 2 years ago
- This code accompanies the proximity variational inference paper.☆18Jan 19, 2019Updated 7 years ago
- A simple Jax implementation of influence functions.☆21Apr 9, 2024Updated 2 years ago
- ☆13Aug 6, 2026Updated 3 weeks ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 9 years ago
- Tiny Tutorial on https://arxiv.org/abs/1703.04730☆14Nov 19, 2019Updated 6 years ago