A MATLAB implementation of Adaptive k-Nearest Neighbor Algorithms called Ada-kNN and Ada-kNN2 (alongside a global weighting scheme for handling class imbalance).
☆16Jun 16, 2018Updated 7 years ago
Alternatives and similar repositories for Ada-kNN
Users that are interested in Ada-kNN 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 is final 4th year project showing how machine learning can be used to predict the remaining useful life of IGBTs with power systems.☆16Mar 19, 2022Updated 4 years ago
- Familiarization with Higher Order Statistics (Spectra) and ARMA (Autoregressive Moving Average) models. Time Frequency Analysis technique…☆10Aug 13, 2021Updated 4 years ago
- A transfer learning-based random forest regression model☆15Aug 25, 2018Updated 7 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- 关于Pytorch-Geometric的学习,包括官方文档的基本内容和部分API的使用方式,以及官方源码中的示例代码和Pytorch-Geometric的部分源码实现☆21Dec 2, 2020Updated 5 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.
- Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in Tensor…☆11Nov 22, 2022Updated 3 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Feb 7, 2019Updated 7 years ago
- Programs to test and prove game theory.☆18May 17, 2014Updated 12 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆73Jun 23, 2021Updated 4 years ago
- Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions☆14May 24, 2017Updated 9 years ago
- Implementation of Thin-Plate-Splines (TPS) in PyTorch.☆13Mar 10, 2020Updated 6 years ago
- The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling te…☆40Jan 14, 2023Updated 3 years ago
- The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".☆16Apr 15, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Oct 21, 2020Updated 5 years ago
- Combining FCN (U-net, DeepEM-net) with CRNN(convolution LSTM and GRU, deconvolution one) for EM image segmentation☆11Feb 18, 2017Updated 9 years ago
- YooChoose challenge with GCN in Pytorch Geometric☆13May 8, 2020Updated 6 years ago
- Dense Captioning is a system of fully localized Deep Convolutional Neural networks to translate a video into natural language. It uses C…☆11Feb 21, 2019Updated 7 years ago
- Optimization process of WGCNA hierarchical clustering with k-means☆15Mar 14, 2019Updated 7 years ago
- Simple correct&smooth implementation in PyTorch.☆13Nov 8, 2022Updated 3 years ago
- BPR recommender system☆10Apr 14, 2018Updated 8 years ago
- [ICLR 2025] Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting☆15Nov 24, 2025Updated 6 months ago
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆11Jan 18, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Dec 5, 2020Updated 5 years ago
- An environment based on JSBSIM aimed at one-to-one close air combat.☆14May 15, 2023Updated 3 years ago
- A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning☆42May 19, 2026Updated last week
- Hyper-graph based Multi-task Feature Selection for Multi-modal Classification of Alzheimer's Disease☆12Jun 10, 2019Updated 6 years ago
- ☆12Nov 29, 2021Updated 4 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- [WebConf 2020] Searching for polarization in signed graphs: a local spectral approach☆10Feb 3, 2024Updated 2 years ago
- CS 230 Final project. Owned by Soham Gadgil, Sun Woo Kang, and Erick Siavichay-Velasco☆12Sep 30, 2022Updated 3 years ago
- Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks☆12Apr 13, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An updated version of the Open Source Brain platform☆20Apr 29, 2026Updated last month
- Sparse graph attention☆17Sep 20, 2018Updated 7 years ago
- pytorch geometric version☆12Oct 12, 2019Updated 6 years ago
- Graph Knowledge Distillation☆13Mar 6, 2020Updated 6 years ago
- Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.☆15Oct 25, 2020Updated 5 years ago
- An introduction to graph convolutional neural networks with PyTorch Geometric☆12May 8, 2020Updated 6 years ago
- This is a project which contains all of modules used in Posetrack and I will write a tutorial to teach everyone who knows little about de…☆19Mar 28, 2019Updated 7 years ago