The Art of Writing Efficient Programs, published by Packt

A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…

All Algorithms implemented in Python

Awesome Reasoning LLM Tutorial/Survey/Guide

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Python SQL Parser and Transpiler

A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.

Open-source Next.js template for building apps that are fully generated by AI. By E2B.

The code to accompany the freeCodeCamp tutorial explaining how to use large language models to build a semantic book recommender.

Easily take an entire YouTube playlist and turn it into high quality transcripts using Whisper.

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

Cost-efficient and pluggable Infrastructure components for GenAI inference

creating a tiny tensor library in raw C

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) o…

Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase

Presentation-quality WebGL math graphing

Distribute and run LLMs with a single file.

🧮 Path to a free self-taught education in Mathematics!

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond

A simple producer/consumer example for Amazon EventBridge. Questions? @jbesw.

Starter files, final projects, and FAQ for my Complete JavaScript course

Code and transcript for my PostgreSQL tutorial

Curated list of project-based tutorials