timeseries-decision-trees

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Statsmodels: statistical modeling and econometrics in Python

? A small, fast chart for time series, lines, areas, ohlc & bars

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Context-Free Grammar Parser

Apache IoTDB

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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

An open-source, cloud-native, unified time series database for metrics, logs and events, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.