aRI0U / lightningcli_raytuneLinks
A dummy example showing how to make Lightning CLI and Ray Tune work together
☆17Updated 3 years ago
Alternatives and similar repositories for lightningcli_raytune
Users that are interested in lightningcli_raytune are comparing it to the libraries listed below
Sorting:
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆207Updated 2 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆195Updated this week
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆236Updated last week
- Self-Supervised Learning in PyTorch☆138Updated last year
- A PyTorch implementation of the Exclusive Cross Entropy Loss.☆20Updated 3 years ago
- Official PyTorch implementation of improved B-cos models☆51Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 5 months ago
- VICReg official code base☆545Updated 2 years ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆59Updated last month
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆66Updated 2 weeks ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- VICRegL official code base☆229Updated 2 years ago
- All the submission scripts used for my work on Jean Zay and the TGCC☆14Updated 2 years ago
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆287Updated last year
- Domain adaptation made easy. Fully featured, modular, and customizable.☆382Updated 2 years ago
- Segmentation models with pretrained backbones. PyTorch.☆113Updated 11 months ago
- Simple easy to use module to get the intermediate values/activations from chosen Pytorch submodules. Supports submodule annidation and se…☆60Updated 5 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆155Updated 3 years ago
- Create powerful Hydra applications without the yaml files and boilerplate code.☆400Updated last week
- Open-source framework for uncertainty and deep learning models in PyTorch☆424Updated last week
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907☆36Updated 6 months ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆33Updated 10 months ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆48Updated last year
- PyTorch Lightning template for rapid, scalable and reproducible ML experimentation with best practices.☆25Updated 3 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆230Updated last month
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆240Updated 2 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year