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followers: 6.0 following: 2.0 repos: 17.0 gists: 0.0

Name: Ashwin Ravi

Type: User

Bio: I am an avid researcher working on topics such as Machine Learning and Deep Learning.

Location: Bangalore, India

Ashwin Ravi's Projects

algorithms-i-coursera-princeton

Contains the programming assignments for Algorithms Part I course conducted by Princeton University on Coursera.

csce-606-homework

Homework Repository for CSCE 606 - Software Engineering

Contains the programming exercises and assignments for Deep Learning A-Z course on Udemy. Includes Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Networks, Self Organizing Maps, Auto Encoders and Boltzmann Machines

europilot

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

grid-mapping

A simulation of a robot exploring a 50 x 50 grid. Here the robot tries to simultaneously localize and map the surroundings (SLAM). This repository would serve as a basis of grid creation and initialization for any SLAM projects.

keras-cv

Industry-strength Computer Vision workflows with Keras

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

machine-learning---coursera

Contains all the work done by me as a part of Coursera Machine Learning Course. Contains the implementation of Linear Regression, Logistic Regression, Neural Networks- Forward / Backward Propagation, SVM, PCA,Spam Classification, Image compression, Recommender Systems etc.

neural-architecture-search

Course project CSCE 636 - Neural Networks

nlp-keyword-extraction-ensemble-method

This script uses an ensemble of multiple methods: RAKE, TF-IDF and Automatic Keyword Extraction to obtain top keywords in Reddit posts. Providing an approximation of the trending topics and words in a given link.

nlp-keyword-extraction-using-rake

The script uses RAKE (Rapid Automatic Keyword Extraction) to obtain top keywords in Reddit posts. Providing an approximation of the trending topics and words in a given link.

nlp-keyword-extraction-using-tf-idf

The scripts use TF_IDF to obtain top keywords in reddit posts. Providing an approximation of the trending topics and words in a given link.

porto-seguro-s-safe-driver-prediction-kaggle-competition

This is an Data Analysis for the Porto Seguro’s Safe Driver Prediction competition hosted by Kaggle. We will visualise the different data features, their relation to the target variable, explore multi-parameter interactions.

redditwebscrapper

Given a Subreddit URL, The script scrapes the content of the webpage. It picks the first 10 items. Subsequently Identifying the top 10 comments by points (including nested comments) for each. The script then identifies the high frequency (top 10) words for each item. Providing an approximation of the trending topics and words in Reddit.

using-machine-learning-to-improve-irrigation

Contains the files for integrating several on-field sensors to an arduino. And further integrated to MATLAB to perform predictions using Machine Learning Algorithms (ANNs). The intention is to save as much water as possible in age old irrigation systems.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

ashwin-ravi Goto Github PK

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