clever-scientist Goto Github PK
Name: Clever
Type: User
Bio: PhD, Engineer in Computer Science
Name: Clever
Type: User
Bio: PhD, Engineer in Computer Science
Multivariate imputation and matrix completion algorithms implemented in Python
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Biometric systems have become a major part of research due its application of identification. Code provides a multimodal biometric system using palm prints modality combined with palm print modality. DCT transformation is applied initially into input image. The proposed methodology uses standard deviation of pre-defined block of DCT coefficient as feature vector. In this way single image is converted into feature vector of 1 x 39. Recognition process is being done by performing distance measurement between feature vector of testing and training data set. Results show that the False Acceptance Rate (FAR) of feature level fusion is less than that of uni-modal systems, hence having multimodality is advantageous. Testing and training is done on database of 500 students of College of Engineering Pune, Pune, India. Canberra distance shows best result when compared to Euclidean or Manhatten distance.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Automatically exported from code.google.com/p/fieldtrip
Socket.IO integration for Flask applications.
How to incorporate Celery into a well structured Flask application
Real-time monitor and web admin for Celery distributed task queue
Making Camera for Android more friendly. 📸
Fruits recognition with Android tensorflow-Lite. Writed by kotlin. Create tflite with keras.
The Module contains finding of user inputted number of optimal thresholding values using various Meta-heuristic algorithms such as Bat algorithm, Cuckoo search, Differential Evolution etc.
Gather how to deploy tensorflow models using nginx, hadoop, kafka, flask, gunicorn, socketio, docker swarm, luigi spotify, airflow, celery and so much more!
Hands on Tensorflow Lite for Intelligent Mobile Apps [video], published by Packt
Your personal voice assistant
A library for transfer learning by reusing parts of TensorFlow models.
Implementation of Segnet, FCN, UNet and other models in Keras.
A python implementation of missing value imputation with kNN
This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.
introduction to iVectors with available speech data
I-Vector Speaker recognition system implemented with MSRIT in matlab
Natural Break classification through Jenks-Caspall algorithm
Compute Natural Breaks in Python (Fisher-Jenks algorithm)
Jupyter metapackage for installation, docs and chat
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
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.