Time Series Analysis With Python Cookbook
PacktPublishing
Time Series Analysis with Python Cookbook, published by Packt
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Search retrieves candidates across the registry and ranks a bounded shortlist by task fit. This count is matching candidates, not the registry total. No suitable match? Try a specific tool or task.
1โ16 / 18
Results: 18
PacktPublishing
Time Series Analysis with Python Cookbook, published by Packt
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
tslearn-team
The machine learning toolkit for time series analysis in Python
KimMeen
[ICLR 2024] Official implementation of " ๐ฆ Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
kwuking
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic wโฆ
amazon-science
Chronos: Pretrained Models for Time Series Forecasting
justmarkham
Jupyter notebooks from the scikit-learn video series
alkaline-ml
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
lexfridman
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.