A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

Claude Code Snapshot for Research. All original source code is the property of Anthropic.

🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Third iteration of my personal website built with Jekyll

Kaggle code for Loan Default Prediction competition

API for Indian Stock Market's NSE and BSE.

Lighter web automation with Python

MDM patch *should* working on iOS 15+...

NodeJS web scrapping utility

A Chrome extension for Scrappy.

The model builds a financial planner to advise a client about how much to save and how to divide the savings among the various asset classes in order to live a comfortable life after retirement

Documentation for GitHub Copilot

Minimal and Clean Reinforcement Learning Examples

100 exercises to learn Python Datatable

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Approaching (Almost) Any Machine Learning Problem

The fastai book, published as Jupyter Notebooks

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

https://ishawakankar.github.io

API Documentation For Lead Distribution Integration. For implementation, visit https://github.com/anarock/anarock.storybook

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Python code for common Machine Learning Algorithms

Iconic mnist with simile neural network

Code for the Make Your Own Neural Network book

Open standard for machine learning interoperability