Kedar Dabhadkar (@dkedar7)
github

dkedar7

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  • Stars
    star
    167
  • Global Rank 141,084 (Top 5 %)
  • Followers 36
  • Following 61
  • Registered over 8 years ago
  • Most used languages
    Python
         80.0 %
    Jupyter Notebook
         20.0 %
  • Location 🇺🇸 United States
  • Country Total Rank 44,113
  • Country Ranking
    Python
         6,332

Top repositories

1

fast_dash

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.
Python
95
star
2

embedchain-fastdash

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.
Python
53
star
3

ProductionScheduling

Optimal production schedule of a multi-site manufacturing facility. Open 'Optimal Production Schedule.ipynb' for a complete walk-through.
Jupyter Notebook
6
star
4

Data-Analyzer

Data Analyzer is a web application built using Dash and Flask on Python that lets you analyze tabular data spreadsheets using Pandas Profiler
Python
3
star
5

neural-style-transfer

Dash and Flask-based web app that allows users to upload or click a photo and applies one from a choice of many different well-known styles.
Python
3
star
6

materials-agent

Python
2
star
7

Install-Auto-Sklearn-on-Windows-and-MacOS

1
star
8

Notes

Short code scripts for easy reference
Jupyter Notebook
1
star
9

IDEAR-Dash

Dash implementation of IDEAR (Interactive Data Exploratory Analysis and Reporting) that allows us to interactively explore, visualize, and analyze data sets.
Python
1
star
10

fast-dash-langchain-stream

Template for using Fast Dash and LangChain to stream LLM responses
Python
1
star
11

Web-Apps

Python
1
star