Daniel Lindh's starred repositories
Scrapegraph-ai
Python scraper based on AI
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
open-parse
Improved file parsing for LLM’s
llama_parse
Parse files for optimal RAG
DeepSeek-Math
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
gpt-newspaper
GPT based autonomous agent designed to create personalized newspapers tailored to user preferences.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
RAGxplorer
Open-source tool to visualise your RAG đź”®
uptrain
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
TaskWeaver
A code-first agent framework for seamlessly planning and executing data analytics tasks.
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
open-interpreter
A natural language interface for computers
prompt2model
prompt2model - Generate Deployable Models from Natural Language Instructions
meow-learning
This is a pick-your-problem style guide I created to educate everyone from my leadership team to my ML engineers on the process of how to work with AI in production settings.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
gpt-engineer
OG CLI codegen project. Specify what you want it to build, the AI asks for clarification, and then builds it. Not actively maintained.