Master programming by recreating your favorite technologies from scratch.

A complete computer science study plan to become a software engineer.

Master the command line, in one page

💯 Curated coding interview preparation materials for busy software engineers

Continuous streaming player of Dragon Hoard archive. Nasty source code ATM, did this as a weekend hackathon project.

A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.

A curriculum for learning about foundation models, from scratch to the frontier

The easiest, and fastest way to run AI-generated Python code safely

A curated list of awesome Chart.js resources and libraries

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate, Groq (100+ LLMs)

A guidance language for controlling large language models.

Interactive Composition Explorer: a debugger for compositional language model programs

Test suite for LLM prompts

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

Multiversal tree writing interface for human-AI collaboration

Efficient Retrieval Augmentation and Generation Framework

LlamaIndex is a data framework for your LLM applications

LLM Prompt Injection Detector

Adding guardrails to large language models.

Ask questions about any data source by leveraging langchains

LangChain-powered web researcher chatbot. Searches for sources on the web and cites them in generated answers.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Machine Learning implementations from scratch. Using minimal dependencies this collection intends to cover fundamental machine learning algorithms: from linear regression to neural networks

💡algorithmsilluminated.org by Tim Roughgarden

OpenML AutoML Benchmarking Framework

Context aware, pluggable and customizable data protection and de-identification SDK for text and images