Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
☆240Feb 14, 2022Updated 4 years ago
Alternatives and similar repositories for TracIn
Users that are interested in TracIn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- Estimating Example Difficulty using Variance of Gradients☆66Jan 10, 2023Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆89Feb 27, 2024Updated 2 years ago
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆40Dec 27, 2022Updated 3 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.
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆81Oct 3, 2024Updated last year
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 11 years ago
- A simple PyTorch implementation of influence functions.☆96Jun 17, 2024Updated 2 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆310Jan 9, 2021Updated 5 years ago
- A lightweight experimental logging library☆54Dec 23, 2025Updated 6 months ago
- A library for evaluating representations.☆81Nov 21, 2021Updated 4 years ago
- ☆42May 20, 2020Updated 6 years ago
- Reproducing TracIn (Tracing Gradient Descent) using PyTorch☆11Nov 17, 2021Updated 4 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 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.
- A simple Jax implementation of influence functions.☆21Apr 9, 2024Updated 2 years ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆83Feb 16, 2021Updated 5 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆35Jan 10, 2026Updated 5 months ago
- ☆51Mar 24, 2023Updated 3 years ago
- ☆62Jun 8, 2021Updated 5 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- ☆114Aug 6, 2024Updated last year
- ☆66Jan 13, 2022Updated 4 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Sep 13, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".☆136Nov 22, 2022Updated 3 years ago
- A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize☆86Mar 12, 2022Updated 4 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆991Jun 10, 2026Updated 3 weeks ago
- Materials for the practical sessions at EEML2019☆80Jul 1, 2020Updated 6 years ago
- Deep learning course CE7454, 2020☆29Oct 21, 2020Updated 5 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆298May 1, 2024Updated 2 years ago
- A Python library for mathematical optimization☆143Sep 27, 2024Updated last year
- JAvascript Design Environment☆91Apr 14, 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.
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆14Aug 8, 2025Updated 10 months ago
- ☆16Apr 14, 2021Updated 5 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 3 years ago
- ☆93Nov 15, 2019Updated 6 years ago
- A PyTorch implementation of SSCR☆23Aug 12, 2024Updated last year
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Dec 7, 2020Updated 5 years ago
- PyTorch Implementation of OpenAI GPT☆130Jun 28, 2023Updated 3 years ago