This is all the codes used in "Large Scale Online Kernel Learning"
☆11Aug 8, 2017Updated 9 years ago
Alternatives and similar repositories for Online-Kernel-Learning
Users that are interested in Online-Kernel-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Library for Kernel Online Learning☆11Nov 30, 2017Updated 8 years ago
- Implementation of Active Anomaly Discovery (AAD) in Python☆14Dec 19, 2017Updated 8 years ago
- Library for Online Learning algorithms☆68Oct 14, 2014Updated 12 years ago
- Simple MATLAB toolbox for deep learning network: Version 1.0.3☆16Apr 16, 2019Updated 7 years ago
- Library for Scalable Online Learning☆99Dec 5, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Learn sparse representations of the Koopman operator in POD basis in kernel feature space☆10Jun 9, 2017Updated 9 years ago
- linux && windows compatible caffe☆13Dec 4, 2019Updated 6 years ago
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Apr 4, 2020Updated 6 years ago
- [Coursera] Natural Language Processing Specialization by "deeplearning.ai".☆15Jun 26, 2020Updated 6 years ago
- MATLAB implementation of ManPG☆15Oct 26, 2022Updated 4 years ago
- Code for paper: AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients☆14Dec 23, 2019Updated 6 years ago
- Approximate Nearest Neighbor (ANN) search for high-dimensional data.☆95Sep 3, 2018Updated 8 years ago
- Low precision random Fourier features for kernel approximation☆20Nov 3, 2019Updated 6 years ago
- The Demo of Our CVPR paper "Cross-Modality Binary Code Learning via Fusion Similarity Hashing"☆14Sep 7, 2017Updated 9 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PyFusion is the Python SDK for the Fusion platform API.☆29Jun 26, 2026Updated 4 months ago
- lightgbmのfeature-transform(特徴量の非線形化)をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します☆10Nov 7, 2017Updated 8 years ago
- Code for the paper☆12May 24, 2024Updated 2 years ago
- implement some outlier detection algorithms☆11Sep 25, 2015Updated 11 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- ☆11Jun 29, 2018Updated 8 years ago
- Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation☆33Aug 14, 2021Updated 5 years ago
- A fast tool for solar image classification.☆12Aug 14, 2020Updated 6 years ago
- codes for GAIIC-Track1☆14Jun 14, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆10May 4, 2022Updated 4 years ago
- [Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder☆24Mar 23, 2019Updated 7 years ago
- Deep Learning Assisted Stokes Inversion☆10May 22, 2023Updated 3 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10May 30, 2019Updated 7 years ago
- RStudio Server on Google Compute Engine☆33May 11, 2017Updated 9 years ago
- Machine learning bootcamp https://ztlevi.gitbook.io/ml-101/☆14Jul 22, 2023Updated 3 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆12Mar 17, 2018Updated 8 years ago
- Engineering Design via Surrogate Modelling: A Practical Guide☆15Aug 18, 2017Updated 9 years ago
- BayesOptMat: Bayesian Optimization for MATLAB☆14Aug 23, 2019Updated 7 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.
- pytest plugin to run pydocstyle☆14Oct 9, 2024Updated 2 years ago
- Necessary codes for GP☆11Apr 25, 2020Updated 6 years ago
- Source code of paper: Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect☆12Jul 26, 2022Updated 4 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Mar 20, 2019Updated 7 years ago
- Model-based time series clustering using variational inference.☆12Oct 28, 2018Updated 8 years ago
- Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL☆14Jul 14, 2017Updated 9 years ago
- A Python library for anomaly detection☆13Aug 28, 2017Updated 9 years ago