Name: Marcus Kalander
Type: User
Company: Noah's Ark Lab @huawei-noah
Bio: Interested in anomaly detection, RCA, time series forecasting, graphs, and more.
Location: Hong Kong
Marcus Kalander's Projects
:bulb: 99 Scala Problems
Implementation and datasets for the paper: 'An Influence-based Approach for Root Cause Alarm Discovery in Telecom Network'.
Core repo for
Arch linux config files
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A python library for easy manipulation and forecasting of time series.
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
Initial test of docker
Crawl & Visualize ICLR 2023 Data from OpenReview
For automatic download of specified TDS documents
Creating customized order reports
Energieffektiv Datoradministration
KDD Cup 2022 spatial dynamic wind power forecast challenge solution.
MatStat stuff
A list of public machine learning/data science/AI contests.
Dataset with 10k+ novels.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The interactive graphing library for Python (includes Plotly Express) :sparkles:
[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds
Implementation of RiskLoc, a method for localizing multi-dimensional root causes.
readme
Logging trait in Spark for easier logging and printing
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)