A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
☆69Jan 26, 2026Updated 5 months ago
Alternatives and similar repositories for finetuning-scheduler
Users that are interested in finetuning-scheduler are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch examples powered by Lightning☆11Dec 28, 2022Updated 3 years ago
- ☆26Feb 15, 2023Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- A ⚡️ Lightning.ai ⚡️ app demo for Voice based web search using OpenAI's Whisper and DuckDuckGo☆26Oct 25, 2022Updated 3 years ago
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"☆23Dec 7, 2024Updated last year
- 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.
- Lightning-YOLOs provides clean, modular YOLO object detection models built on PyTorch Lightning, making it easier to train, extend, and e…☆34Jan 19, 2026Updated 5 months ago
- Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery☆15Apr 7, 2022Updated 4 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- Generator for anechoic, non-stationary noise signals☆11Aug 12, 2022Updated 3 years ago
- ☆17May 21, 2020Updated 6 years ago
- PyTorch interface for TrueGrad Optimizers☆43Aug 8, 2023Updated 2 years ago
- Beam-guided TasNet☆58Sep 8, 2022Updated 3 years ago
- ☆17May 1, 2022Updated 4 years ago
- 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.
- KAIST Thesis Template☆16Jan 28, 2021Updated 5 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Lightning support for Intel Habana accelerators.☆25Aug 1, 2025Updated 10 months ago
- ODEON is a task-agnostic framework for deep learning applied to remote sensing☆22May 25, 2026Updated last month
- Independent vector analysis with alixiary-function-method☆26Dec 21, 2022Updated 3 years ago
- Speed up model training by fixing data loading.☆600Jun 8, 2026Updated 3 weeks ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- The collection of my research papers' illustrations.☆22Oct 15, 2023Updated 2 years ago
- Code examples for "Under the hood of calling C/C++ from Python"☆13Sep 16, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆25Dec 11, 2022Updated 3 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Feb 1, 2022Updated 4 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79May 4, 2024Updated 2 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Jan 1, 2024Updated 2 years ago
- ☆17Apr 16, 2021Updated 5 years ago
- My take on how you should organize your transformer experiments.☆13Apr 13, 2022Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 4 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.
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Oct 12, 2022Updated 3 years ago
- Create a source of truth for ML model results and browse it on Papers with Code☆36Jun 9, 2021Updated 5 years ago
- A Python port of the popular https://github.com/xivapi/SaintCoinach library.☆14Updated this week
- ☆104Feb 6, 2021Updated 5 years ago
- Suite for Analysis of Molecular Simulations☆12Jun 4, 2026Updated 3 weeks ago
- Survey-on-Implicit-Neural-Representation☆36Mar 31, 2021Updated 5 years ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆60Oct 8, 2024Updated last year