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Easy-to-import neural network architecture Draw.io template
Extremely fast Query Engine for DataFrames, written in Rust
Anthropic's Interactive Prompt Engineering Tutorial
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
A Python library for moderation, mediation and conditional process analysis.
Resources about time series forecasting and deep learning.
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Deep universal probabilistic programming with Python and PyTorch
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。
Production-ready platform for agentic workflow development.
《利用Python进行数据分析·第2版》
Statsmodels: statistical modeling and econometrics in Python
100-Days-Of-ML-Code中文版
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Practice your pandas skills!
proof of concept for a transformer-based time series prediction model
A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
Resources for Machine Learning Explainability
SurvSHAP(t): Time-dependent explanations of machine learning survival models
⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑
Réimplémentation du papier de recherche : "iTransformer: Inverted Transformers are effective for time series forecasting"