☆113Jun 20, 2023Updated 3 years ago
Alternatives and similar repositories for data_diet
Users that are interested in data_diet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 3 years ago
- Code for coreset selection methods☆257Feb 27, 2023Updated 3 years ago
- ☆62Jun 8, 2021Updated 5 years ago
- ☆23Apr 5, 2023Updated 3 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆36May 2, 2021Updated 5 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.
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆26Mar 6, 2025Updated last year
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆35Oct 30, 2025Updated 8 months ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Apr 28, 2022Updated 4 years ago
- Reproducing TracIn (Tracing Gradient Descent) using PyTorch☆11Nov 17, 2021Updated 4 years ago
- Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)☆29Feb 26, 2021Updated 5 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Nov 17, 2020Updated 5 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- ☆33Mar 24, 2023Updated 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.
- ☆96Jan 14, 2021Updated 5 years ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆21Aug 20, 2024Updated last year
- 📰 Computing the information content of trained neural networks☆24Oct 8, 2021Updated 4 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Mar 24, 2023Updated 3 years ago
- [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo …☆10May 21, 2026Updated 2 months ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆23Feb 6, 2020Updated 6 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆348Oct 29, 2023Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆141Nov 15, 2024Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆184Jun 30, 2024Updated 2 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.
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 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
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 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…☆352May 24, 2023Updated 3 years ago
- Dataset pruning for ImageNet and LAION-2B.☆80Jul 5, 2024Updated 2 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆347Sep 24, 2024Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 4 years ago
- Dataset Condensation (ICLR21 and ICML21)☆542Nov 27, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆85Feb 24, 2025Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆32Apr 9, 2021Updated 5 years ago
- This repository contains the code for our ECCV 2022 paper on our "Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning".☆12Dec 6, 2022Updated 3 years ago
- [ACL 2023 Findings] Emergent Modularity in Pre-trained Transformers☆26Jun 7, 2023Updated 3 years ago
- Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper☆17Jan 24, 2020Updated 6 years ago
- We define and estimate smooth unique information of samples with respect to classifier weights and predictions. We compute these quantiti…☆11Mar 9, 2021Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago