nikhitmago
Data Science | Machine Learning | Deep Learning | Computer Vision | NLP
@spatial-computingLos Angeles
Pinned Repositories
adversarial-attacks-cnn
Implementing white box adversarial attacks on parameters and architecture of CNN in PyTorch
cluster-analysis
K-Means clustering on a multi-class and multi-label data set
deep-cnn-for-image-colorization
Colorize an image from grayscale using Convolutional Neural Networks
entity-linking
Matching records by linking entities using string and data matching
frequent-itemset-association
Market basket analysis of finding frequent itemsets using SON algorithm in Spark
lookalike-modelling
Finding customer lookalikes using Machine Learning in PySpark
movie-recommender-system
Recommending movies using Collaborative Filtering and Locality Sensitive Hashing in PySpark
named-entity-recognition
NER for Twitter data using Viterbi Decoding, CRF and feature engineering in Python
semantic-segmentation-transfer-learning
Semantically segmenting images using Fully Convolutional Networks based on VGG-16 network in PyTorch
structure-from-motion
Reconstructing the 3-D positions of a set of matching points in the images and inferring the camera extrinsic parameters in OpenCV
nikhitmago's Repositories
nikhitmago/lookalike-modelling
Finding customer lookalikes using Machine Learning in PySpark
nikhitmago/semantic-segmentation-transfer-learning
Semantically segmenting images using Fully Convolutional Networks based on VGG-16 network in PyTorch
nikhitmago/structure-from-motion
Reconstructing the 3-D positions of a set of matching points in the images and inferring the camera extrinsic parameters in OpenCV
nikhitmago/movie-recommender-system
Recommending movies using Collaborative Filtering and Locality Sensitive Hashing in PySpark
nikhitmago/adversarial-attacks-cnn
Implementing white box adversarial attacks on parameters and architecture of CNN in PyTorch
nikhitmago/deep-cnn-for-image-colorization
Colorize an image from grayscale using Convolutional Neural Networks
nikhitmago/frequent-itemset-association
Market basket analysis of finding frequent itemsets using SON algorithm in Spark
nikhitmago/cluster-analysis
K-Means clustering on a multi-class and multi-label data set
nikhitmago/entity-linking
Matching records by linking entities using string and data matching
nikhitmago/named-entity-recognition
NER for Twitter data using Viterbi Decoding, CRF and feature engineering in Python
nikhitmago/semi-supervised-learning
Active learning, Passive Learning and Monte Carlo Simulations
nikhitmago/time-series-classification-of-human-activities
Classification of human activities like bending, cycling, walking etc.
nikhitmago/544
nikhitmago/AB-Generic-Python-Toolbox
A toolbox for simulating cochlear implant signal processing and the perception of sound by implant recipients.
nikhitmago/air-quality-forecasting-model
Build an accurate air quality forecasting model
nikhitmago/buzz-la
Knowledge Graph of student activities happening around universities in Los Angeles
nikhitmago/conditional-random-field
Information extraction using CRF to segment/chunk the course description of UCLA courses
nikhitmago/cs599-spring-2019
nikhitmago/csci_544_fa_18_slides
slides from the fall 2018 version of csci 544
nikhitmago/darknet
Convolutional Neural Networks
nikhitmago/data-visualisation
Data viz project using D3.js and Angular.js
nikhitmago/image-classification
Create, train and test a CNN for the task of image classification
nikhitmago/kaggle-toxic-comments-classification
Kaggle Competition involving a Natural Language Processing task
nikhitmago/nlp-project
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.
nikhitmago/Python
All Algorithms implemented in Python
nikhitmago/pytorch-goodies
PyTorch Boilerplate For Research
nikhitmago/scraping-wrapper
Wrapper program that extracts data from the course descriptions of UCLA from website
nikhitmago/social-network-analysis
SNA using Girvan Newmann Algorithm
nikhitmago/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
nikhitmago/twitter-streaming
Implementation of reservoir sampling to track popular twitter tags and calculate some basic statistics