A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.

O Painel CVM é uma automação que exibe os comunicados mais relevantes das empresas brasileiras listadas em bolsa.

Calculadora de Juros Compostos em HTML, CSS e JS, simula investimentos com aportes e taxas configuráveis. Exibe tabela e gráfico dinâmico, com interface responsiva e acessível, otimizada para deskt…

Unified Framework for Multiple Time Series Tasks

Shiny for Python

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based c…

Source code for pytogether.org — A fully browser-based collaborative IDE with real-time editing, live drawing, and voice chat.

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

Code for the paper "Testing Copula Hypothesis with Copula Entropy"

🐍 Scan your Python dependencies for known security vulnerabilities with Rust-powered scanner

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

Multiple Imputation with LightGBM in Python

Sampling profiler for Python programs

Fit many probability distributions from SciPy to asset returns and rank them.

Heterogeneous Graph Neural Network

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Private, fast, and honest web browser

Like `requests` for mathematical computing, making complex math feel simple.

A Python library for conformal prediction, providing tools for uncertainty quantification in regression and classification tasks.

Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊

pyFAST is a research-driven, modular Python framework built for advanced and efficient time series analysis, especially excelling in multi-source and sparse data scenarios.

Repositório contendo materiais de estudo sobre Predição Conforme.

Tools for diffing and merging of Jupyter notebooks.

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

[PVLDB 2025] TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting