leopard-ai / bettyLinks
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
☆338Updated last year
Alternatives and similar repositories for betty
Users that are interested in betty are comparing it to the libraries listed below
Sorting:
- ☆312Updated 4 months ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Optimal Transport Dataset Distance☆167Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)☆491Updated 2 years ago
- Code for our NeurIPS 2022 paper☆369Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Unofficial JAX implementations of deep learning research papers☆156Updated 3 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆480Updated 3 years ago
- ☆208Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 4 years ago
- ☆178Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆194Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆334Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 6 months ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆199Updated 11 months ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 weeks ago
- Differentiable Sorting Networks☆116Updated last year
- Implementation of https://srush.github.io/annotated-s4☆499Updated 3 weeks ago
- ☆230Updated 5 months ago
- Official codebase for Pretrained Transformers as Universal Computation Engines.☆249Updated 3 years ago
- ☆133Updated 4 years ago
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆605Updated last week
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆569Updated last year
- Create animations for the optimization trajectory of neural nets☆156Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆332Updated last week
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago