canoalberto Goto Github PK
Name: Alberto Cano
Type: User
Company: Virginia Commonwealth University
Bio: Associate Professor of Computer Science Faculty Director, High Performance Research Computing
Location: Richmond, VA
Name: Alberto Cano
Type: User
Company: Virginia Commonwealth University
Bio: Associate Professor of Computer Science Faculty Director, High Performance Research Computing
Location: Richmond, VA
Continual Learning for Multi-Label Drifting Data Streams using Heterogeneous Ensemble of Self-Adjusting Nearest Neighbors
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams
Scalable CAIM discretization on multiple GPUs using concurrent kernels
Learning classification rules with differential evolution for high-speed data stream mining on GPUs
Weighted Data Gravitation Classification for Standard and Imbalanced Data
Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams
An Interpretable Classification Rule Mining Algorithm
MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
Kappa Updated Ensemble for drifting data stream mining
Self-Adjusting k Nearest Neighbors for Multi-Label Drifting Data Streams
Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Supercomputing. Seamlessly. Open, Interactive HPC Via the Web
ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams
ARFF data source for Apache Spark supporting traditional, multi-output, and multi-instance learning paradigms
Stable Diffusion web UI
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Improved CAIM discretization for unbalanced and balanced data
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.