Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.

Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.

100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.

Awesome-LLM: a curated list of Large Language Model

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

TextRegress is a Python package designed to help researchers perform advanced regression analysis on long-form text data.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Foundation Models for Time Series

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

Implementations, Pre-training Code and Datasets of Large Time-Series Models

Deep learning-based outlier/anomaly detection

一本系统地教你将深度学习模型的性能最大化的战术手册。

Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation

Python package to calculate Boilerplate and many other text quantified features

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Code Repository for The Kaggle Book, Published by Packt Publishing

Build a Jekyll blog in minutes, without touching the command line.

Statistical Analysis of Network Data with R, 2nd Edition

Text Similarity

Mine the texts in Corporate Social Responsibility (CSR) reports, and generate specific text-based features specified in prior literature