aRI0U / lightningcli_raytune
A dummy example showing how to make Lightning CLI and Ray Tune work together
☆17Updated 2 years ago
Alternatives and similar repositories for lightningcli_raytune:
Users that are interested in lightningcli_raytune are comparing it to the libraries listed below
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆48Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆102Updated 3 weeks ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆171Updated this week
- Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907☆35Updated last month
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆207Updated last year
- All the submission scripts used for my work on Jean Zay and the TGCC☆14Updated last year
- Large-scale uncertainty benchmark in deep learning.☆55Updated 2 months ago
- ☆61Updated last year
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 3 months ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated 2 years ago
- Efficiently Composable Data Augmentation on the GPU with Jax☆33Updated 8 months ago
- A PyTorch implementation of the Exclusive Cross Entropy Loss.☆20Updated 2 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆16Updated 8 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated 11 months ago
- NumPy arrays, ready for human consumption☆68Updated 8 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆34Updated 3 weeks ago
- Running Jax in PyTorch Lightning☆90Updated 3 months ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Unofficial JAX implementations of deep learning research papers☆154Updated 2 years ago
- Annotated implementation of vanilla Transformers to guide through all the ambiguities.☆10Updated 5 months ago
- A utility to be able to launch jobs on JZ with reasonable defaults☆19Updated last year
- Lightweight ML Experiment Logging 📖☆80Updated 7 months ago
- Self-Supervised Learning in PyTorch☆136Updated last year
- ☆145Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- A tiny library for stochastic dataset caching in PyTorch.☆42Updated last year
- ☆73Updated 2 years ago
- Conformal prediction for uncertainty quantification in image segmentation☆22Updated 3 months ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆11Updated last year