paperswithcode / releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
☆2,619Updated last year
Alternatives and similar repositories for releasing-research-code:
Users that are interested in releasing-research-code are comparing it to the libraries listed below
- torch-optimizer -- collection of optimizers for Pytorch☆3,081Updated 10 months ago
- Pytorch Lightning code guideline for conferences☆1,253Updated last year
- Acceptance rates for the major AI conferences☆4,380Updated 3 weeks ago
- An unofficial styleguide and best practices summary for PyTorch☆1,956Updated 3 years ago
- AI conference deadline countdowns☆5,756Updated 5 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,714Updated 2 weeks ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,088Updated 2 months ago
- A curated list of awesome self-supervised methods☆6,221Updated 7 months ago
- A small package to create visualizations of PyTorch execution graphs☆3,299Updated last month
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,606Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,080Updated this week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,266Updated 11 months ago
- Code for visualizing the loss landscape of neural nets☆2,917Updated 2 years ago
- A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).☆2,739Updated 6 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,485Updated last week
- PyTorch implementation of Contrastive Learning methods☆1,958Updated last year
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,009Updated last year
- PyTorch tutorials and best practices.☆1,675Updated 2 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,027Updated 11 months ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,209Updated this week
- A PyTorch Library for Meta-learning Research☆2,715Updated 8 months ago
- A simple way to calibrate your neural network.☆1,128Updated 3 years ago
- PyTorch deep learning projects made easy.☆4,837Updated 8 months ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,395Updated 3 years ago
- A curated list of resources for Learning with Noisy Labels☆2,655Updated 9 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,586Updated this week
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,813Updated 8 months ago
- View model summaries in PyTorch!☆2,693Updated last week
- A collection of AWESOME things about domian adaptation☆5,191Updated 4 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,741Updated last week