🧀 Pytorch code for the Fromage optimiser.
☆129Jul 14, 2024Updated last year
Alternatives and similar repositories for fromage
Users that are interested in fromage are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- Code base for SRSGD.☆28Mar 5, 2020Updated 6 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Post-processing for fair classification☆17Jun 30, 2025Updated 8 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Mar 5, 2026Updated 2 weeks ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Nov 22, 2022Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆12Jan 10, 2023Updated 3 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆12Mar 13, 2021Updated 5 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- ☆25May 20, 2020Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Apr 11, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆130Jan 4, 2024Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Oct 7, 2022Updated 3 years ago
- ☆12Dec 20, 2019Updated 6 years ago
- Morfessor EM+Prune☆10Jul 22, 2020Updated 5 years ago
- A PyTorch implementation of Generative Flows with Matrix Exponential.☆12Sep 22, 2024Updated last year
- ☆11Jan 13, 2026Updated 2 months ago
- ☆43Oct 2, 2018Updated 7 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Dec 16, 2020Updated 5 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Feb 1, 2024Updated 2 years ago
- ☆133Mar 23, 2021Updated 5 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆252Aug 26, 2020Updated 5 years ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- ☆13Jan 27, 2017Updated 9 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Sep 4, 2022Updated 3 years ago
- NeurIPS 2019 Paper Implementation☆12Nov 22, 2022Updated 3 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Sep 19, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆48Aug 17, 2021Updated 4 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,379Mar 1, 2024Updated 2 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- ☆14Jun 5, 2020Updated 5 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago