eliekawerk

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

faker

Faker is a Python package that generates fake data for you.

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

open-llms

📋 A list of open LLMs available for commercial use.

prompt-engineering

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

quantstats

Portfolio analytics for quants, written in Python

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

skforecast

Time series forecasting with scikit-learn models

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

awesome-twitter-algo

The release of the Twitter algorithm, annotated for recsys

data-contract-template

Template for a data contract used in a data mesh.

Gumroad-Landing-Page-Generator

This project is a Python script that scrapes data from a Gumroad site, generates a colorful and well-designed HTML page using OpenAI's GPT-4 model, and deploys the generated page to Vercel.

data-matching-software

A list of free data matching and record linkage software.

SOS4NLP

Survey of Surveys for Natural Language Processing (SOS4NLP)

CS6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

sherpa

RLHF

Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

CATENets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

foundation-models-for-dbt-entity-matching

Playground for using large language models into the Modern Data Stack for entity matching

ab-testing-resources

hateful-memes

airflow-elt-blueprint

A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.

probmodeler

A open source repository supporting the Probabilistic Modeler in Three Months workshop @ www.altdeep.ai/courses/probmodeler

Probabilistic_Graphical_Models

Notes from the Coursera course taught by Daphne Koller on Probabilistic Graphical Models

standarized_ml

Repository and resources for standardizing machine learning lifecycles

backfill-feature-store-with-prefect

Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).

Causal-Counterfactual-Forecasting-ACIC2023

Code for Causal Inference (Spring 2023) Final Project @NYU. Causal Counterfactual Forecasting

premier-league-etl