mlatcl Goto Github PK
Name: ML at the Cambridge Computer Lab
Type: Organization
Bio: ML@CL seeks to advance the safe and reliable deployment of machine learning systems to tackle the real-world challenges.
ML at the Cambridge Computer Lab's Projects
advds
Advanced Data Science unit
ai-assurance-guide
bulma-clean-theme
A clean and modern Jekyll theme based on Bulma
cmci
Chaotic Monke Call Identification
deepnn
Deep Neural Networks Module
dsa
Lectures from data science events in Africa.
dsa-ml-systems
Repo for teaching materials related to the Data Science Africa course Machine Learning Systems
e-fellows-day-cambridge-2022
Turing AI Fellows and Teams Event at Cambridge - 7th of December 2022
e-hackathon-march-2023
Turing AI Fellows and Teams Community Hackathon - 30th and 31st of March 2023
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
emukit-playground
A web page explaining concepts of statistical emulation and making decisions under uncertainty in an interactive way.
execed
Short course targeted at Exec Ed on Machine Learning, AI and Data Science
fbp-vs-soa
Comparison of flow-based programming and service-oriented architecture for building data-driven applications
gpss
Talks from the Gaussian Process Summer School
internalprojects
Projects run in the ML@CL group.
jekyll-theme
Jekyll theme for conference proceedings and journal papers.
kafker
A tiny Kafka-driven text publishing social network service.
le-biciclette-di-milano
Selected posts from Neil Lawrence's blog, compiled in a latex book
milan
Milan is a Scala API and runtime infrastructure for building data-oriented systems, built on top of Apache Flink.
milvus
mlaccelerate
Machine Learning Accelerator Course
mlai
Machine learning and adaptive intelligence course
mlatcl.github.io
Repository for hosting the new website style.
mlphysical
Machine Learning and the Physical World module
old_internal
ML@CL Internal Group Website
r250
Lectures given in the departments Advanced Topics in Machine Learning or NLP Module
r255
Lectures given in the department's Advanced Topics in Machine Learning
supply-chain-simulation-environment
tutorial-series
Repository for tutorial series content
ukaifellows
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