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
Sorting:
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆344Oct 29, 2023Updated 2 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- Estimating Example Difficulty using Variance of Gradients☆64Jan 10, 2023Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 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"☆39Dec 27, 2022Updated 3 years ago
- 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 10 years ago
- A lightweight experimental logging library☆52Dec 23, 2025Updated 2 months ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆307Jan 9, 2021Updated 5 years ago
- A library for evaluating representations.☆77Nov 21, 2021Updated 4 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆232Nov 18, 2024Updated last year
- 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 5 years ago
- A simple Jax implementation of influence functions.☆20Apr 9, 2024Updated last year
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Jan 10, 2026Updated 2 months ago
- ☆51Mar 24, 2023Updated 2 years ago
- ☆62Jun 8, 2021Updated 4 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- ☆112Aug 6, 2024Updated last year
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Mar 13, 2021Updated 5 years ago
- ☆65Jan 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
- [CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".☆137Nov 22, 2022Updated 3 years ago
- A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize☆85Mar 12, 2022Updated 4 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 3 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆117Apr 27, 2021Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Mar 12, 2026Updated last week
- Materials for the practical sessions at EEML2019☆79Jul 1, 2020Updated 5 years ago
- Deep learning course CE7454, 2020☆29Oct 21, 2020Updated 5 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆290May 1, 2024Updated last year
- A Python library for mathematical optimization☆141Sep 27, 2024Updated last year
- JAvascript Design Environment☆88Apr 14, 2023Updated 2 years ago
- Python codes for influential instance estimation☆56Dec 12, 2022Updated 3 years ago
- ☆91Nov 15, 2019Updated 6 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆13Aug 8, 2025Updated 7 months ago
- ☆16Apr 14, 2021Updated 4 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago