☆42Mar 23, 2023Updated 3 years ago
Alternatives and similar repositories for overparam
Users that are interested in overparam are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Jan 23, 2018Updated 8 years ago
- Code for: Transforming and Projecting Images into Class-conditional Generative Networks☆195Oct 10, 2023Updated 2 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Nov 28, 2022Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- 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.
- ☆12Sep 26, 2019Updated 6 years ago
- ☆15Mar 14, 2020Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Learning to See by Looking at Noise☆115Nov 24, 2024Updated last year
- ☆13Apr 10, 2017Updated 9 years ago
- ☆15Jun 15, 2020Updated 5 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Apr 24, 2023Updated 3 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Post-processing for fair classification☆16Jun 30, 2025Updated 11 months ago
- Efficient empirical NTKs in PyTorch☆22Jun 13, 2022Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 7 years ago
- Implementation of LogAvgExp for Pytorch☆37Apr 10, 2025Updated last year
- 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
- Understanding Training Dynamics of Deep ReLU Networks☆306Oct 19, 2025Updated 7 months ago
- On the "steerability" of generative adversarial networks☆268Feb 19, 2021Updated 5 years ago
- Monotone operator equilibrium networks☆53Jun 22, 2020Updated 5 years ago
- Python package for evaluating model calibration in classification☆20Nov 12, 2019Updated 6 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Dec 8, 2022Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Oct 7, 2022Updated 3 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- ☆60Jun 18, 2021Updated 4 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆464Jul 16, 2022Updated 3 years ago
- Official implementation of the paper "What Makes for a Good Stereoscopic Image" CVPRW 2025☆19May 27, 2025Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- Code for SelfAugment☆27Dec 16, 2020Updated 5 years ago
- WeightNet: Revisiting the Design Space of Weight Networks☆19Feb 20, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Jun 30, 2020Updated 5 years ago
- ☆26Jun 13, 2023Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Apr 11, 2021Updated 5 years ago
- ☆34Mar 1, 2019Updated 7 years ago
- Refining continuous-in-depth neural networks☆42Nov 14, 2021Updated 4 years ago
- Don't just regulate gradients like in Muon, regulate the weights too☆32Jul 30, 2025Updated 10 months ago
- Code for "Approaching Deep Learning through the Spectral Dynamics of Weights"☆13Oct 30, 2024Updated last year