Stars
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
System design patterns for machine learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
21 Lessons, Get Started Building with Generative AI
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Semiont supports human+ai collaborative knowledge work. Use it as: a Wiki, Knowledge Base, Context Graph, Semantic Layer, or Agentic Memory.
A Bulletproof Way to Generate Structured JSON from Language Models
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Study guides for MIT's 15.003 Data Science Tools
VIP cheatsheets for Stanford's CS 229 Machine Learning
A quick reminder of all SQL queries and examples on how to use them.
Collection of leetcode company tag problems. Periodically updating.
Contains Company Wise Questions sorted based on Frequency and all time
Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20…
All Algorithms implemented in Python
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
A light-weight markdown documentation generator for Python code.
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Examples and guides for using the OpenAI API
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.