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Starred repositories
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Anthropic's educational courses
Search over large image datasets with natural language and computer vision!
Example fasthtml applications demonstrating a range of web programming techniques
This is a repo with links to everything you'd ever want to learn about data science
MacOS app for the current moon phase. Lives as an emoji in your toolbar. Updates daily and works completely offline.
Learning Statistical Models Through Simulation in R (version 1, 2021)
📚 Download the full collection of Paul Graham essays in EPUB, PDF & Markdown for easy reading.
A tech-stack for building, experimenting, deploying, and managing your LLM applications
a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"
DoubleML - Double Machine Learning in Python
Markov Chain Monte Carlo Visualization Tools
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
SimPO: Simple Preference Optimization with a Reference-Free Reward
Runbook automation platform with deep observability integrations for SRE & On-Call Teams
The bookdown version lives here:
Opensource work management solution, alternative to monday.com
Source code and files for Real World Data Science website.
High-Performance Symbolic Regression in Python and Julia
Save, reuse, and share code snippets using JupyterLab Code Snippets!
Variable Inspector extension for Jupyterlab
A reactive Python kernel for Jupyter notebooks.
Python implementation of the PGE algorithm
RISE: "Live" Reveal.js JupyterLab Slideshow Extension
A place to submit conda recipes before they become fully fledged conda-forge feedstocks