🧀 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 3 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- Code base for SRSGD.☆27Mar 5, 2020Updated 6 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Mar 5, 2026Updated 3 months 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
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 6 years ago
- ☆25May 20, 2020Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Apr 11, 2021Updated 5 years ago
- 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
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆12Dec 20, 2019Updated 6 years ago
- A PyTorch implementation of Generative Flows with Matrix Exponential.☆12Sep 22, 2024Updated last year
- ☆11Jan 13, 2026Updated 5 months ago
- ☆42Oct 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
- ☆132Mar 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…☆253Aug 26, 2020Updated 5 years ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆89Feb 1, 2024Updated 2 years ago
- ☆12Jan 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
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Sep 19, 2019Updated 6 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,387Mar 1, 2024Updated 2 years ago
- ☆14Jun 5, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Dec 9, 2020Updated 5 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Feb 3, 2021Updated 5 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- Python library for argument and configuration management☆57Feb 7, 2023Updated 3 years ago