ML at the Cambridge Computer Lab

ML@CL seeks to advance the safe and reliable deployment of machine learning systems to tackle the real-world challenges.

Pinned Repositories

advds
Advanced Data Science unit
Language:HTML2 2 03
deepnn
Deep Neural Networks Module
Language:Jupyter Notebook5 3 05
dsa
Lectures from data science events in Africa.
Language:Jupyter Notebook2 3 00
fbp-vs-soa
Comparison of flow-based programming and service-oriented architecture for building data-driven applications
Language:Jupyter Notebook6 4 02
gpss
Talks from the Gaussian Process Summer School
Language:HTML8 2 01
mlai
Machine learning and adaptive intelligence course
Language:HTML9 2 00
mlphysical
Machine Learning and the Physical World module
Language:HTML29 5 07
old_internal
ML@CL Internal Group Website
Language:HTML2 5 15
r250
Lectures given in the departments Advanced Topics in Machine Learning or NLP Module
Language:HTML1 2 00
r255
Lectures given in the department's Advanced Topics in Machine Learning
Language:HTML4 2 00

ML at the Cambridge Computer Lab's Repositories

mlatcl/mlphysical
Machine Learning and the Physical World module
Language:HTML29 5 07
mlatcl/mlai
Machine learning and adaptive intelligence course
Language:HTML9 2 00
mlatcl/gpss
Talks from the Gaussian Process Summer School
Language:HTML8 2 01
mlatcl/fbp-vs-soa
Comparison of flow-based programming and service-oriented architecture for building data-driven applications
Language:Jupyter Notebook6 4 02
mlatcl/deepnn
Deep Neural Networks Module
Language:Jupyter Notebook5 3 05
mlatcl/r255
Lectures given in the department's Advanced Topics in Machine Learning
Language:HTML4 2 00
mlatcl/advds
Advanced Data Science unit
Language:HTML2 2 03
mlatcl/dsa
Lectures from data science events in Africa.
Language:Jupyter Notebook2 3 00
mlatcl/old_internal
ML@CL Internal Group Website
Language:HTML2 5 15
mlatcl/cmci
Chaotic Monke Call Identification
Language:Python1 2 01
mlatcl/dsa-ml-systems
Repo for teaching materials related to the Data Science Africa course Machine Learning Systems
Language:Python1 5 05
mlatcl/execed
Short course targeted at Exec Ed on Machine Learning, AI and Data Science
Language:HTML1 2 00
mlatcl/kafker
A tiny Kafka-driven text publishing social network service.
Language:Python1 7 03
mlatcl/mlaccelerate
Machine Learning Accelerator Course
Language:Jupyter Notebook1 2 02
mlatcl/mlatcl.github.io
Repository for hosting the new website style.
Language:HTML1 3 011
mlatcl/r250
Lectures given in the departments Advanced Topics in Machine Learning or NLP Module
Language:HTML1 2 00
mlatcl/ai-assurance-guide
Language:JavaScript0 0
mlatcl/atomichuman
Lecture series on The Atomic Human
Language:HTML
mlatcl/bulma-clean-theme
A clean and modern Jekyll theme based on Bulma
Language:HTML1 0
mlatcl/e-fellows-day-cambridge-2022
Turing AI Fellows and Teams Event at Cambridge - 7th of December 2022
Language:JavaScript1 01
mlatcl/e-hackathon-march-2023
Turing AI Fellows and Teams Community Hackathon - 30th and 31st of March 2023
Language:HTML1 01
mlatcl/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Language:Python1 0
mlatcl/internalprojects
Projects run in the ML@CL group.
Language:HTML2 02
mlatcl/jekyll-theme
Jekyll theme for conference proceedings and journal papers.
Language:HTML0 02
mlatcl/le-biciclette-di-milano
Selected posts from Neil Lawrence's blog, compiled in a latex book
Language:TeX2 0
mlatcl/milan
Milan is a Scala API and runtime infrastructure for building data-oriented systems, built on top of Apache Flink.
Language:Scala1 0
mlatcl/milvus
Language:Jupyter Notebook
mlatcl/supply-chain-simulation-environment
Language:Python1 0
mlatcl/tutorial-series
Repository for tutorial series content
Language:Python1 0
mlatcl/ukaifellows
Language:Ruby1 0