paperswithcode / releasing-research-codeLinks
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
☆2,794Updated 2 years ago
Alternatives and similar repositories for releasing-research-code
Users that are interested in releasing-research-code are comparing it to the libraries listed below
Sorting:
- Pytorch Lightning code guideline for conferences☆1,265Updated last year
- Model interpretability and understanding for PyTorch☆5,236Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,113Updated last year
- An unofficial styleguide and best practices summary for PyTorch☆1,981Updated 3 years ago
- arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv☆6,146Updated 10 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,943Updated last month
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,618Updated 3 years ago
- Acceptance rates for the major AI conferences☆4,505Updated 4 months ago
- AI conference deadline countdowns☆5,839Updated 8 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,730Updated 3 weeks ago
- Code for visualizing the loss landscape of neural nets☆2,994Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,339Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,043Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,283Updated 2 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).☆2,840Updated last week
- A small package to create visualizations of PyTorch execution graphs☆3,360Updated 5 months ago
- ☆3,644Updated 2 months ago
- PyTorch implementation of Contrastive Learning methods☆1,983Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,299Updated last month
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,511Updated last month
- PyTorch deep learning projects made easy.☆4,936Updated 11 months ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,034Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,279Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,665Updated 3 weeks ago
- A PyTorch Library for Meta-learning Research☆2,788Updated 11 months ago
- PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡☆4,682Updated 9 months ago
- View model summaries in PyTorch!☆2,792Updated this week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,151Updated last month
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,981Updated last month