Pyprobml
probml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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Results: 33
probml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
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 " 🦙 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 w…
amazon-science
Chronos: Pretrained Models for Time Series Forecasting
chiphuyen
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
BoltzmannEntropy
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even t…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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