MichaelVerdegaal

Michael's starred repositories

LLM-Zero-to-Hundred

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

Language:Jupyter Notebook16700

flask-sqlalchemy-tutorial

:snake: :information_source: Create and manage data in your Flask app via a SQL database.

Language:PythonMIT38500

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonAGPL-3.0797000

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

Language:HTML8505400

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Language:Python311300

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Language:PythonNOASSERTION6400700

dashy

🚀 A self-hostable personal dashboard built for you. Includes status-checking, widgets, themes, icon packs, a UI editor and tons more!

Language:VueMIT1590000

chatgpt-advanced

WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.

Language:TypeScriptMIT639000

gpt4all

gpt4all: run open-source LLMs anywhere

Language:C++MIT6558200

Promptify

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Language:Jupyter NotebookApache-2.0307800

memos

An open source, lightweight note-taking service. Easily capture and share your great thoughts.

Language:GoMIT2803200

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Language:PythonMIT657400

langchain

🦜🔗 Build context-aware reasoning applications

Language:PythonMIT8661500

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Language:PythonMIT2320800

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

Language:HTMLMIT476800