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chpmoreno
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A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
AdalFlow: The library to build & auto-optimize LLM applications.
Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
Explanation method for Graph Neural Networks (GNNs)
PyTorch code and models for V-JEPA self-supervised learning from video.
Repository to track versions of concrete strength data, models, and active learning proposals.
PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS
Starting code for the GildedRose Refactoring Kata in many programming languages.
Existing Literature about Machine Unlearning
Building event-driven applications the easy way in Go.
Seamlessly integrate LLMs into scikit-learn.
Flutter on Windows, MacOS and Linux - based on Flutter Embedding, Go and GLFW.
highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.
🧘♂️ Open-source no-code & code web app builder
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
A domain-driven design framework for Python.
Open source platform for the machine learning lifecycle
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
Memphis.dev is a highly scalable and effortless data streaming platform
Agent-based model for systemically-important banks in the EU. Reproduces Cont-Schaanning 2017.