Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''
☆15Jun 27, 2022Updated 4 years ago
Alternatives and similar repositories for early_stopping_double_descent
Users that are interested in early_stopping_double_descent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".☆17Jun 10, 2022Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Dec 13, 2018Updated 7 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆50Jul 25, 2024Updated last year
- Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer☆16Nov 21, 2024Updated last year
- [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)☆14Sep 3, 2024Updated last year
- 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.
- [TPAMI] The official implementation of our paper "Improved and Accelerated Text-to-Image Generation with Collect, Reflect, and Refine".☆30Mar 8, 2026Updated 3 months ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 7 years ago
- Empirical study that reports the correlation between complexity measures and generalization performance by deep learning models on medica…☆13Nov 29, 2021Updated 4 years ago
- tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition☆32Dec 16, 2019Updated 6 years ago
- This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).☆15Dec 13, 2022Updated 3 years ago
- [ICLR2025] IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis☆39Feb 17, 2025Updated last year
- ☆50Oct 23, 2025Updated 8 months ago
- Python Implementation of Monotonic Cubic Interpolation☆18Apr 16, 2019Updated 7 years ago
- caffe pro☆19Feb 9, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆24Oct 21, 2025Updated 8 months ago
- Variational Recurrent Auto Encoder☆15Jul 10, 2016Updated 9 years ago
- This is an implementation of direct density ratio estimation by unconstrained Least-Squares Importance Fitting (uLSIF) with python.☆16May 31, 2024Updated 2 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Mar 27, 2023Updated 3 years ago
- Implementation of accurate coresets for known problems from the field of machine learning.☆11Nov 21, 2019Updated 6 years ago
- ☆14Sep 15, 2018Updated 7 years ago
- Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks☆20Mar 26, 2021Updated 5 years ago
- ☆11Aug 29, 2022Updated 3 years ago
- Deep Learning for Recommender Systems☆12Oct 20, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Some experimental scripts for running IQFeed on Debian GNU/Linux☆16Feb 16, 2014Updated 12 years ago
- A tool for detecting anomalies in time series data☆11Dec 1, 2022Updated 3 years ago
- ☆13Jun 17, 2016Updated 10 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Jun 6, 2023Updated 3 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆22Mar 25, 2023Updated 3 years ago
- An offline evaluation framework for sequence-based recommender systems☆13May 17, 2019Updated 7 years ago
- Peking University Convex Optimization Course given by Professor Wen Zaiwen☆11Jan 11, 2018Updated 8 years ago
- SGD/ADAM/Amsgrad/AdamW/RAdam/Lookahead☆10Nov 18, 2019Updated 6 years ago
- Multiclass support matrix machine for single trial EEG classification☆11Jul 9, 2018Updated 7 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.
- Implementation of Iterative Machine Teaching algorithm with PyTorch.☆10Aug 27, 2023Updated 2 years ago
- Survey for Distribution Shift☆19Jun 1, 2021Updated 5 years ago
- UZH Epi/Biostat Methods Seminar Spring 2020: Deep Learning☆13May 7, 2020Updated 6 years ago
- Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow☆15Jul 25, 2016Updated 9 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- ☆16Jan 26, 2015Updated 11 years ago
- ☆21Sep 17, 2025Updated 9 months ago