Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
☆34Oct 30, 2025Updated 4 months ago
Alternatives and similar repositories for Beyond-Neural-Scaling
Users that are interested in Beyond-Neural-Scaling are comparing it to the libraries listed below
Sorting:
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 2 years ago
- ☆10Oct 20, 2023Updated 2 years ago
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆13Jan 9, 2024Updated 2 years ago
- A Julia package for probabilistic mixture models☆13Sep 14, 2013Updated 12 years ago
- ☆41Sep 21, 2023Updated 2 years ago
- Code for ICCV21 paper: Task Switching Network for Multi-task Learning☆20Apr 11, 2022Updated 3 years ago
- Code for paper 'Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning'☆18Apr 19, 2024Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Feb 24, 2023Updated 3 years ago
- ☆112Jun 20, 2023Updated 2 years ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆22Aug 20, 2024Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Jan 31, 2023Updated 3 years ago
- ☆30Nov 5, 2024Updated last year
- Few-shot Learning with Auxiliary Data☆31Dec 8, 2023Updated 2 years ago
- Code for coreset selection methods☆255Feb 27, 2023Updated 3 years ago
- ☆32May 24, 2023Updated 2 years ago
- ☆44Oct 13, 2023Updated 2 years ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 4 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Apr 15, 2024Updated last year
- Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…☆151Oct 1, 2023Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89May 25, 2022Updated 3 years ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)☆37Oct 30, 2024Updated last year
- Guide to interviewing for industry machine learning roles (data/applied/research scientist, ML engineer, etc).☆11Dec 28, 2022Updated 3 years ago
- A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.☆15Sep 22, 2022Updated 3 years ago
- The code for network autoregression model (NAR)☆10May 12, 2016Updated 9 years ago
- LLA is a PyTorch library that allows to visualize and analyze loss landscapes of neural networks.☆13Dec 9, 2025Updated 2 months ago
- ☆10Jul 16, 2023Updated 2 years ago
- Temporal Network Autocorrelation Models (TNAM)☆11Jun 26, 2023Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- ☆11Aug 29, 2022Updated 3 years ago
- A Survey on Data Selection for Language Models☆254Apr 29, 2025Updated 10 months ago
- Compute training dynamics, plot data cartography, analysing data quality...☆42Nov 10, 2022Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago
- Official Repository for Dataset Inference for LLMs☆42Jul 25, 2024Updated last year
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago
- ☆10Aug 26, 2016Updated 9 years ago
- Noise supression using deep filtering☆13May 31, 2022Updated 3 years ago
- PyTorch implementation of Bezier simplex fitting☆12Feb 28, 2026Updated last week
- Impress.js presentations I've done☆12Sep 30, 2020Updated 5 years ago