ChinmaySKulkarni
Distributed systems, machine learning, large language models. Currently, MTS at Microsoft AI. Previously, MTS @InflectionAI, SWE @people-ai. Member of @apache
@microsoftSan Francisco, CA
Pinned Repositories
ChaNGa-N-Ary-Tree
Code base for the CHArm++ N-Body GrAvity Solver (ChaNGa) n-ary tree application.
Charm-Practice-Programs
Contains practice programs in the Charm++ Parallel Programming Model.
Data-Cube
Data Cube Implementation. Done in Python.
Decision-Trees-and-Stumps
Implementation of Decision Trees and Decision Stumps. Done in Java using Weka.
Frequent-Pattern-Mining
Frequent Pattern Mining. Implemented the Apriori Algorithm. Done in Python.
InCollab-Machine-Learning
Machine learning framework used in InCollab. InCollab is an Android App which tracks user activity, location and interests to provide them with relevant articles, so they can collaborate with like-minded peers. This repository is the machine learning framework used in InCollab to extract relevant articles from NY Times using topic modeling.
Naive-Bayes-and-AdaBoost
Implementation of Naive Bayes with and without AdaBoost. Done in Python.
Parallel-Particle-Simulator
Contains programs written in the Charm++ parallel programming model for simulating a large-scale parallelized particle simulator similar to ones used for weather simulations.
Prostate_Cancer_Detection
CS 598 - Machine Learning for Signal Processing Project
Winnow-Perceptron-Adagrad
Implementation of Winnow, Perceptron and Adaptive Gradient Descent Algorithms. Done in Matlab.
ChinmaySKulkarni's Repositories
ChinmaySKulkarni/Prostate_Cancer_Detection
CS 598 - Machine Learning for Signal Processing Project
ChinmaySKulkarni/Naive-Bayes-and-AdaBoost
Implementation of Naive Bayes with and without AdaBoost. Done in Python.
ChinmaySKulkarni/Winnow-Perceptron-Adagrad
Implementation of Winnow, Perceptron and Adaptive Gradient Descent Algorithms. Done in Matlab.
ChinmaySKulkarni/Data-Cube
Data Cube Implementation. Done in Python.
ChinmaySKulkarni/Frequent-Pattern-Mining
Frequent Pattern Mining. Implemented the Apriori Algorithm. Done in Python.
ChinmaySKulkarni/Parallel-Particle-Simulator
Contains programs written in the Charm++ parallel programming model for simulating a large-scale parallelized particle simulator similar to ones used for weather simulations.
ChinmaySKulkarni/ChaNGa-N-Ary-Tree
Code base for the CHArm++ N-Body GrAvity Solver (ChaNGa) n-ary tree application.
ChinmaySKulkarni/Decision-Trees-and-Stumps
Implementation of Decision Trees and Decision Stumps. Done in Java using Weka.
ChinmaySKulkarni/InCollab-Machine-Learning
Machine learning framework used in InCollab. InCollab is an Android App which tracks user activity, location and interests to provide them with relevant articles, so they can collaborate with like-minded peers. This repository is the machine learning framework used in InCollab to extract relevant articles from NY Times using topic modeling.
ChinmaySKulkarni/3D-Jacobi
Charm++ programs for solving the 3D Jacobi Problem
ChinmaySKulkarni/Alarm_Tracker
Alarm Tracker
ChinmaySKulkarni/Directory-Structure
C implementation of a Unix-based directory structure that uses a left child, right sibling tree where nodes can have any number of children.
ChinmaySKulkarni/dotfiles
Backup of my dotfiles: .bashrc, .screenrc and .vimrc along with required plug-ins.
ChinmaySKulkarni/hb-data
ChinmaySKulkarni/hbase
Mirror of Apache HBase
ChinmaySKulkarni/hdinsight-phoenix-sharp
.NET driver for Apache Phoenix and Phoenix Query Server
ChinmaySKulkarni/HdrHistogram
A High Dynamic Range (HDR) Histogram
ChinmaySKulkarni/k-Means-and-k-NN
Implementation of k-Means and k-NN classifiers. Done in Python.
ChinmaySKulkarni/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
ChinmaySKulkarni/minesweeper
Python program to play Minesweeper through the console. This is hacky due to time limits on implementation. Work in progress!
ChinmaySKulkarni/phoenix
Mirror of Apache Phoenix
ChinmaySKulkarni/phoenix-connectors
Apache Phoenix Connectors
ChinmaySKulkarni/requests-for-research
A living collection of deep learning problems
ChinmaySKulkarni/Shell
C implementation of a shell.
ChinmaySKulkarni/shell-scripts
Some useful shell scripts that I wrote.
ChinmaySKulkarni/spark
Apache Spark
ChinmaySKulkarni/sqlline
Shell for issuing SQL to relational databases via JDBC
ChinmaySKulkarni/Traveling-Salesman
C implementation of the traveling salesman problem.
ChinmaySKulkarni/Waterjug-Problem
Breadth-First Search implementation of the waterjug problem. Contains additional heuristics as well.
ChinmaySKulkarni/zookeeper
Mirror of Apache Hadoop ZooKeeper