Quant Research of the Week (5th Edition)

This page summarizes the projects mentioned and recommended in the original post on /r/quant

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  • ppi_py

    A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

  • Statistical ML Discovery: The article explores a machine learning package designed for accurate scientific discovery through statistical analysis. (2023-08-24, shares: 113.0)

  • Fin-Maestro-Web

    Discontinued Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

  • Advanced Sentiment Trading App: The piece presents a new web app for trading and investment research, featuring real-time sentiment analysis. (2022-11-24, shares: 146.0)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • InfluxDB

    Scalable datastore for metrics, events, and real-time analytics

  • Scalable Realtime Datastore: The piece examines a scalable datastore specifically created for metrics events and real-time analytics. (2013-09-26, shares: 26787.0)

  • Koopa

    Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

  • Koopa Learning for Time Dynamics: The article announces the launch of a code for learning nonstationary time series dynamics using Koopman Predictors, set for NeurIPS 2023. (2023-08-22, shares: 83.0)

  • UnbiasedGBM

    repository for Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance

  • UnbiasedGBM: Repository for Gradient Boosting Decision Tree: The article discusses a repository for Unbiased Gradient Boosting Decision Tree that offers unbiased feature importance. (2023-05-14, shares: 19.0)

  • Fooocus

    Focus on prompting and generating

  • Enhanced Sample Quality with Self-Attention Guidance: Denoising diffusion models are becoming increasingly popular due to their high-quality and diverse generation capabilities. (2023-11-23, shares: 16676.0)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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