DeepOBS: A Deep Learning Optimizer Benchmark Suite
☆109Dec 21, 2023Updated 2 years ago
Alternatives and similar repositories for DeepOBS
Users that are interested in DeepOBS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Jul 17, 2021Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- PyTorch implementation of the Hessian-free optimizer☆36Jun 14, 2024Updated last year
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 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.
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 5 months ago
- ☆16Apr 26, 2023Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated 9 months ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆417Apr 3, 2026Updated 2 weeks ago
- Simple examples of serving HuggingFace models with TensorFlow Serving☆16Oct 21, 2023Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆611Nov 28, 2025Updated 4 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆13Dec 4, 2024Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆36May 10, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…☆10Oct 13, 2020Updated 5 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆65Updated this week
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆487Jul 1, 2022Updated 3 years ago
- Code for the paper: "Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows".☆12Feb 24, 2024Updated 2 years ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆738Mar 24, 2026Updated 3 weeks ago
- Efficient PyTorch Hessian eigendecomposition tools!☆385Feb 29, 2024Updated 2 years ago
- A Pytorch implementation of the KWNG estimator☆14Jul 25, 2024Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 5 years ago
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆17Dec 28, 2023Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,170Mar 22, 2024Updated 2 years ago
- The main github repository for NLA2015 course☆12Oct 31, 2016Updated 9 years ago
- ☆94Jun 17, 2019Updated 6 years ago
- Implements stochastic line search☆118Mar 14, 2023Updated 3 years ago
- ☆32May 30, 2024Updated last year
- ☆14Jun 21, 2016Updated 9 years ago
- This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS☆12Feb 12, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch☆36Jan 29, 2021Updated 5 years ago
- Codebase for DualEnc (ACL-20)☆22Oct 3, 2023Updated 2 years ago
- A sum-of-squares toolbox for stability analysis☆10Dec 4, 2024Updated last year
- Implementations of quasi-hyperbolic optimization algorithms.☆102May 15, 2020Updated 5 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Mar 21, 2023Updated 3 years ago
- Feasibility Jump☆29Oct 26, 2023Updated 2 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Jun 20, 2024Updated last year