paperswithcode / releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
☆2,584Updated last year
Related projects ⓘ
Alternatives and complementary repositories for releasing-research-code
- Code for visualizing the loss landscape of neural nets☆2,824Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,038Updated 7 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,589Updated 2 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,691Updated this week
- An unofficial styleguide and best practices summary for PyTorch☆1,927Updated 2 years ago
- Pytorch Lightning code guideline for conferences☆1,239Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,219Updated 7 months ago
- Model interpretability and understanding for PyTorch☆4,918Updated this week
- PyTorch tutorials and best practices.☆1,656Updated 2 years ago
- A curated list of awesome self-supervised methods☆6,159Updated 4 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,500Updated 3 weeks ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,016Updated 8 months ago
- AI conference deadline countdowns☆5,659Updated last month
- Bayesian optimization in PyTorch☆3,096Updated this week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,257Updated 8 months ago
- Acceptance rates for the major AI conferences☆4,226Updated 2 months ago
- Profiling and inspecting memory in pytorch☆1,018Updated 3 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,277Updated 8 months ago
- A PyTorch Library for Meta-learning Research☆2,661Updated 5 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,007Updated last week
- Pytorch library for fast transformer implementations☆1,642Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,448Updated 3 weeks ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,384Updated 3 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,796Updated 8 months ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,134Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,523Updated this week
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆1,982Updated last year
- Code snippets created for the PyTorch discussion board☆543Updated 3 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,535Updated 3 years ago
- A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).☆2,628Updated 2 months ago