bhavanajain Goto Github PK

3d-brain-tumor-seg

algorithms

Implementation of common data structures and algorithms in C++

autonomous-vehicles

Assignments and projects for CS598 MAAV: Autonomous Vehicles course at UIUC

clustering-algorithms

Clustering algorithms of K-Means and DBScan. Use them to classify documents topic-wise and compare performance

concurrent-priority-queues

Implemented Concurrent Priority Queues using fine grained locking over sequential heap and lockfree skiplist-based

cs101_grader

Grader code for cs101. Please make changes accordingly

diversionary_comments

Built a python pipeline to preprocess blog posts (lemmatization, coreference resolution, identify collocations, etc) and built an LDA topic model to flag irrelevant comments under those posts.

gitignore

A collection of useful .gitignore templates

graph-visualisation-with-sigma.js

Graph visualisation using Javascript library (sigma.js) and using No-SQL graph database Neo4j - A demo movie database with movies, actors, directors and other crew persons related to each movie (from neo4j sample databases ). Along with graph visualisation, we added interaction with it. So, a person could create an account, mark movies as watched, follow people and rate movies.

hacking_tools

infinitam

An extended infinitam version with a ROS node

maplejuice

A fault-tolerant parallel cloud computing framework

ml-tools

Python implementations of Machine Learning tools

optimistic-concurreny-control

C++ implementation of two Optimistic Concurrency Control (OCC) protocols - dynamic adjustment (OCC-DA) and TicToc (Time Traveling OCC)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rbms

In summer 2017, I was an intern at the Purdue University working under Prof Bruno Ribeiro on improving the training of Restricted Boltzmann Machines. We used the Las Vegas transformation of Markov Chain Monte Carlo method to obtain better samples to estimate the negative phase of the gradient. The model trained via this method achieved a significantly higher likelihood on the MNIST data as compared to the conventional model trained via Contrastive Divergence. This repository contains a brief report on my work.

research-paper-summaries

A directory with some interesting research paper summaries in the field of Deep Learning

show-and-tell

cs547 project on implementing image captioning (show and tell approach)

spark

Apache Spark - A unified analytics engine for large-scale data processing

spatial-transformer-networks

Tensorflow models for Spatial Transformer Networks

stackoverflow-tag-suggestion

Tag Suggestion for StackOverflow: We built two models - a deep neural network trained on the tf-idf vector embeddings of the post and a supervised LDA topic model.