Projects in Awesome Lists tagged with variance-reduction
A curated list of projects in awesome lists tagged with variance-reduction .
https://github.com/jonathf/chaospy
Chaospy - Toolbox for performing uncertainty quantification.
gaussian-quadrature probability-distribution sensitivity-analysis sparse-grids statistics uncertainty-quantification variance-reduction
Last synced: 16 May 2025
https://github.com/nvidia/framework-reproducibility
Providing reproducibility in deep learning frameworks
atomics d9m deep-learning determinism deterministic-ops frameworks fwr13y gpu-determinism gpu-support ngc noise noise-reduction pytorch r13y reproducibility seed seeder tensorflow variance-reduction
Last synced: 16 May 2025
https://github.com/NVIDIA/framework-reproducibility
Providing reproducibility in deep learning frameworks
atomics d9m deep-learning determinism deterministic-ops frameworks fwr13y gpu-determinism gpu-support ngc noise noise-reduction pytorch r13y reproducibility seed seeder tensorflow variance-reduction
Last synced: 24 Apr 2025
https://github.com/jerryxyx/MonteCarlo
A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM
cir-model control-varates hedge heston-model monte-carlo optimization option-pricing variance-reduction
Last synced: 27 Mar 2025
https://github.com/adamdad/filter-gradient-decent
In this paper, we propose Filter Gradient Decent (FGD), an efficient stochastic optimization algorithm that makes a consistent estimation of the local gradient by solving an adaptive filtering problem with different designs of filters.
filters stochastic-gradient-descent variance-reduction
Last synced: 15 Apr 2025
https://github.com/mhw32/antithetic-vae-public
PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
aistats sampling-methods variance-reduction variational-autoencoder variational-inference
Last synced: 14 Apr 2025
https://github.com/amazon-science/mezo_svrg
Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"
deep-learning fine-tuning language-model large-language-models llm-training llms machine-learning machine-learning-algorithms optimization optimization-algorithms svrg variance-reduction zero-order-methods
Last synced: 03 May 2025
https://github.com/anthonytedja/teams
teams partitions players into equal teams with minimum variance
csv-parser normalization partitioning python variance-reduction
Last synced: 24 Mar 2025
