dkedar7 Goto Github PK
Name: Kedar Dabhadkar
Type: User
Bio: Data scientist, Carnegie Mellon grad. I build full-stack data-driven solutions.
Twitter: dkedar7
Location: Albany, NY
Blog: dkedar.com
Name: Kedar Dabhadkar
Type: User
Bio: Data scientist, Carnegie Mellon grad. I build full-stack data-driven solutions.
Twitter: dkedar7
Location: Albany, NY
Blog: dkedar.com
All hacks built during the 2018 hackAuton.
Analysis of over 3 million 911 calls in Montgomery county, PA.
An application which allows you to take an image of any English text and translates it to the chosen language
Automatically generate data science data pipeline, and perform basic data analysis on any data on a Jupyter notebook.
Main purpose of this project is to understand different methods of classifying textual data. I've used "20 newsgroup" dataset. It is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups, each corresponding to a different topic.
Develop WebApps built on top of computer vision algorithms.
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Data Analyzer is a web application built using Dash and Flask on Python that lets you analyze tabular data spreadsheets using Pandas Profiler
Includes Binary Search Tree, Hash Tables...
Store all relevant scripts required to develop dkedar7.github.io
Data Science Toolbox (dsbox) allows me to easily access overused Data Science libraries and tools to avoid code redundancy. Also includes codes to quickly build POCs for common tasks like Data Analysis reports, Topic Modeling, Object Detection, Machine Comprehension.
Built with Fast Dash, this app uses Embedchain, which abstracts the entire process of loading and chunking datasets, creating embeddings, and storing them in a vector database. Embedchain itself uses Langchain and OpenAI's ChatGPT API.
Named Entity Recognition using custom-built feature-engineered logistic regression and part of speech tagging using custom-built Hidden Markov Model (HMM)
Chemical and Reactive Systems for Fall 2017
Tutorials for Fall 2018
Turn your Python functions into interactive apps! Fast Dash is an innovative way to deploy your Python code as interactive web apps with minimal changes.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Use fastai-v2 with HuggingFace's pretrained transformers
Coronavirus COVID19 US Cases Dashboard
Dash implementation of IDEAR (Interactive Data Exploratory Analysis and Reporting) that allows us to interactively explore, visualize, and analyze data sets.
Interactive Tutorials
Mapping process and tools for utilities to visualize lead service line data.
Python-based web application to demonstrate the ability of some state-of-the-art machine learning NLP models at the question-answering task.
Technical documentation that just works
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.