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Name: Neha
Type: User
Name: Neha
Type: User
Udacity SDC Project 4
Blog posts for matatat.org
Calculation of median
A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules
The code convert scores (given by customers after their online purchase) into ratings. It can take integer/ float or string as input.
Emotions are a result of internal and external factors which are unique to every individual and they influence human decisions to a considerable extent. Emotion detection contributes for a large domain of research. Identifying and predicting emotions based on data can, in fact, sabotage many mishaps in an early stage. In this project, we have taken into consideration four physiological signals – body temperature, heart rate, skin resistance and pulse wave. These signals are obtained from a skin temperature sensor, a heart rate sensor, a skin response sensor and a custom designed pulse wave sensor. These signals are processed using Arduino Uno microcontroller. The microcontroller transmits the data to a computer via USB. The data is used for analyses and classification using machine learning algorithms to find out which algorithm provides the highest accuracy. The four basic emotions taken into account in this project are normal (relaxed), happy, sad and angry. The data has been collected from 22 healthy individuals, including both male and female, with ages ranging from 20 to 22 years. The performance of the dataset for different machine-learning algorithms are checked through Weka and TensorFlow. Among all the algorithms applied to the dataset, Random Forest Tree proved to provide the highest accuracy of 82.55% for the entire dataset using Weka. We were able to achieve an accuracy of 98.75% for individual dataset through fully connected 10 hidden layered neural network using TensorFlow.
Implementation of the paper "Fair Clustering Through Fairlets" by Chierichetti et al. (NIPS 2017)
A Python package for enforcing fairness in binary and multiclass classification
real time application to measure heart rate
Learning to create a repository
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech
Talk at PyData Delhi 2017: Transfer Learning using Keras and Tensorflow
Code used to obtain results for my medium articles
Open Source Computer Vision Library
Python implementation of EVM(Eulerian Video Magnification)
In this repository, I am going to write almost everything required to know about different data structures in python.
A collection of Jupyter notebooks using QISKit
Computer vision application to determine respiratory rate from the video of a sleeping person
Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
An Open Source Machine Learning Framework for Everyone
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.