Quant Research of the Week (5th Edition)

• ppi_py

  1 169 9.1 Python

  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

  1 209 8.0 Python

  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)

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• InfluxDB

  28 27,876 9.9 Rust

  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

  1 150 7.0 Python

  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

  1 24 4.1 Jupyter Notebook

  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

  34 35,432 9.8 Python

  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)

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