raunaks13 Goto Github PK
Name: Raunak Shah
Type: User
Company: University of Illinois, Urbana-Champaign (UIUC)
Bio: LanceDB | MS CS @ UIUC | Adobe Research | IIT Kanpur
Location: Champaign, IL
Name: Raunak Shah
Type: User
Company: University of Illinois, Urbana-Champaign (UIUC)
Bio: LanceDB | MS CS @ UIUC | Adobe Research | IIT Kanpur
Location: Champaign, IL
Push-Button End-to-End Testing of Kubernetes Operators/Controllers
Apache Arrow modified to work with the Intel IAA accelerator using the Intel QPL library to speed up data processing (compression, decompression, and filtering)
Recreated version of SIGNet adapted for simulated datasets (e.g. the CARLA simulator)
Implements the alternating direction method of multipliers and it's faster variants in python to optimize a quadratic program
Code to generate instance masks for SIGNet, adapted for the CARLA simulator
Implementation of a flat distributed filesystem, tested on 10 virtual machines. Supports fault tolerance, client transparency, and concurrency (read/write starvation). Details are given in the attached report.
This repository can be used to log files located across a distributed system with multiple virtual machines. A grep command needs to be entered at any client on a particular machine, and it will print out the output on the terminal. Regex queries are supported as well.
Modified GeoNet for py3 and tf1.10, with visualization
A working implementation of GeoNet in PyTorch. (GeoNet can help estimate pixel level depth and pose in video frames, useful for vision and autonomous driving applications)
Data Processing + RNN and BERT based models for multilabel classification of hindi posts
Implementations of various image processing routines in python
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Assignments from Andrew Ng's online ML course offered by Stanford on Coursera
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering
Contains implementations of various numerical methods covering interpolation, differentiation, integration, ODE solvers, spectral/finite difference methods to solve PDEs, and root finding algorithms
Numpy main repository
Repo for robocon 18 codes
Code to predict stock prices on 30th trading day of the month for the Credit Suisse Hackathon
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
Image processing code written for the Visualize 2018 competition at IITK
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.