jrgilbertson's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
poteto/hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
All-Hands-AI/OpenHands
🙌 OpenHands: Code Less, Make More
kuchin/awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
getcursor/cursor
The AI Code Editor
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
princeton-nlp/SWE-agent
[NeurIPS 2024] 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.
anthropics/anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
ZachGoldberg/Startup-CTO-Handbook
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
google/latexify_py
A library to generate LaTeX expression from Python code.
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
nus-apr/auto-code-rover
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.
woop/awesome-quantified-self
:bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
ObsidianToAnki/Obsidian_to_Anki
Script to add flashcards from text/markdown files to Anki
platers/obsidian-linter
An Obsidian plugin that formats and styles your notes with a focus on configurability and extensibility.
briandalessandro/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
s-blu/obsidian_dataview_example_vault
A example vault to collect and showcase various dataview queries. Created on behalf of AB1908
eugeneyan/ml-design-docs
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
dynamicwebpaige/thinking-in-data
A VS Code extension pack to help users visualize, understand, and interact with data.
ronikobrosly/awesome-data-leadership
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
RunLLM/aqueduct
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
beaunus/stanford-algs
Example Test Cases for Stanford's Algorithms Coursera Specialization
ronikobrosly/causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
einatboro/awesome-survival-analysis
Resources for Survival Analysis
ewharton/ab-testing-resources
mtdibattista/math-notes