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Name: Nikhit Mago
Type: User
Company: @spatial-computing
Bio: Data Science | Machine Learning | Deep Learning | Computer Vision | NLP
Location: Los Angeles
Name: Nikhit Mago
Type: User
Company: @spatial-computing
Bio: Data Science | Machine Learning | Deep Learning | Computer Vision | NLP
Location: Los Angeles
A toolbox for simulating cochlear implant signal processing and the perception of sound by implant recipients.
Implementing white box adversarial attacks on parameters and architecture of CNN in PyTorch
Build an accurate air quality forecasting model
Knowledge Graph of student activities happening around universities in Los Angeles
K-Means clustering on a multi-class and multi-label data set
Information extraction using CRF to segment/chunk the course description of UCLA courses
slides from the fall 2018 version of csci 544
Convolutional Neural Networks
Data viz project using D3.js and Angular.js
Colorize an image from grayscale using Convolutional Neural Networks
Matching records by linking entities using string and data matching
Market basket analysis of finding frequent itemsets using SON algorithm in Spark
Create, train and test a CNN for the task of image classification
Kaggle Competition involving a Natural Language Processing task
Finding customer lookalikes using Machine Learning in PySpark
Recommending movies using Collaborative Filtering and Locality Sensitive Hashing in PySpark
NER for Twitter data using Viterbi Decoding, CRF and feature engineering in Python
This project attempts to annotate and classify Youtube videos taking into account the content of the video and the composition of the text/captions. While youtube flags content inappropriate for young audiences by requiring viewers to sign in, a lot of youtube content is generally unaudited if the uploader of the video does not flag it as appropriate for a particular age group. Also there is no distinction as to what content is appropriate for which age groups. In this project, we will classify content based the film rating system: G, PG, PG-13 and R.
All Algorithms implemented in Python
PyTorch Boilerplate For Research
Wrapper program that extracts data from the course descriptions of UCLA from website
Semantically segmenting images using Fully Convolutional Networks based on VGG-16 network in PyTorch
Active learning, Passive Learning and Monte Carlo Simulations
SNA using Girvan Newmann Algorithm
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Reconstructing the 3-D positions of a set of matching points in the images and inferring the camera extrinsic parameters in OpenCV
Classification of human activities like bending, cycling, walking etc.
Implementation of reservoir sampling to track popular twitter tags and calculate some basic statistics
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.