vedharshita Goto Github PK
Name: Harshita Ved
Type: User
Company: Amazon
Bio: Data Scientist @ Amazon π¨βπ»Data Science, Machine Learning, BI Enthusiast
Location: Austin
Name: Harshita Ved
Type: User
Company: Amazon
Bio: Data Scientist @ Amazon π¨βπ»Data Science, Machine Learning, BI Enthusiast
Location: Austin
The original work that we have tried to replicate was done by a team of researchers from Tencent Technology, the Chinese University of Hong Kong, and Nankai University who proposed a novel method to address the issue of improving training deep neural networks (DNN). Their work is published through the paper "Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks" (Chen et al., 2019) which proposes a marriage of 2 commonly used techniques β Batch Normalisation and Dropout, to achieve input whitening that neither method could otherwise achieve independently.
Exploratory and Predictive Analysis of Olist E-commerce Dataset
Automatic activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors, and permit continuous monitoring of numerous physiological signals, where these sensors are attached to the subject's body. This can be immensely useful in healthcare applications, for automatic and intelligent daily activity monitoring for elderly people. The Human Activity Recognition database was built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify activities into one of the six activities performed.
To identify which chemical properties influence the quality of white wines?
Python learning from scratch
Enhanced search results of clinical trial records based on user query utilizing taxonomy of Medical SubHeadings by providing keywords and document recommendations. Dataset was taken from clinicaltrials.gov
Netflix in the past 5-10 years has captured a large populate of viewers. With more viewers, there most likely an increase of show variety. However, do we know the most preferred genre and shows on Netflix?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.