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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder
InceptionTime: Finding AlexNet for Time Series Classification
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Korean Multi-task Instruction Tuning
Graph Neural Networks for Recommender Systems
Graph Neural Network Library for PyTorch
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
퀀트 투자를 위한 머신러닝·딥러닝 알고리듬 트레이딩 2/e
《머신러닝·딥러닝 문제해결 전략》
[KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
This project implements Caltech-101 object detection framework using python. It provides carside-detector and face-detector. It can easily build other 99 object detectors in the Caltech-101.
🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations