clever-scientist Goto Github PK

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

feature-level-fusion-of-palm-print-and-palm-vein

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

Feature selector is a tool for dimensionality reduction of machine learning datasets

fieldtrip

Automatically exported from code.google.com/p/fieldtrip

finger-print-based-biometric-authentication-system

flask-socketio

Socket.IO integration for Flask applications.

flasky-with-celery

How to incorporate Celery into a well structured Flask application

flower

Real-time monitor and web admin for Celery distributed task queue

fotoapparat

Making Camera for Android more friendly. 📸

fruitsrecognitioncamera

Fruits recognition with Android tensorflow-Lite. Writed by kotlin. Create tflite with keras.

fuzzy-entropy-based-optimal-thresholding

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.

galeafloading

gather-tensorflow-serving

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

Hands on Tensorflow Lite for Intelligent Mobile Apps [video], published by Packt

hey-athena-client

Your personal voice assistant

hub

A library for transfer learning by reusing parts of TensorFlow models.

hunspeech

i-vectors

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

imputer.py

A python implementation of missing value imputation with kNN

incremental-svm-learning-in-matlab

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.

ivector

introduction to iVectors with available speech data

ivector-1

ivectormatlabmsrit

I-Vector Speaker recognition system implemented with MSRIT in matlab

ivectorscoring

jenks-caspall.py

Natural Break classification through Jenks-Caspall algorithm

jenkspy

Compute Natural Breaks in Python (Fisher-Jenks algorithm)

jupyter

Jupyter metapackage for installation, docs and chat

kafka-streams-machine-learning-examples

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.