cambridge-mlg Goto Github PK
Type: Organization
Type: Organization
The first chapters of an online textbook to support the 3F8 Inference course.
Code for the paper "Approximating full conformal prediction at scale via influence functions""
Repo for adversarial few-shot learning experiments.
Camera-ready demos for the AI UK event, Mar. 2023 @ the Alan Turing Institute.
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
A Bayesian active-learning procedure to obtain an audiogram, as described in Schlittenlacher et al. (2018, asa.scitation.org/doi/abs/10.1121/1.5047436). Matlab/Octave. Uses the GPML Toolbox (www.gaussianprocess.org/gpml), and is an application of the classification procedure described by Houlsby et al. (2011, https://arxiv.org/pdf/1112.5745)
Code for the paper "A Probabilistic Deep Image Prior for Computational Tomography"
MLG Blog
HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adriร Garriga-Alonso, Carl Rasmussen and Laurence Aitchison
Implementation of the Convolutional Conditional Neural Process
A web app for ranking computer science departments according to their research output in selective venues.
Code for: "On the Efficacy of Differentially Private Few-shot Image Classification" published in TMLR 12/2023.
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
End-to-end SoC simulation: integrating the gem5 system simulator with the Aladdin accelerator simulator.
Gaussian Process Regression Library for GNU-R
Code for "Memory Efficient Meta-Learning with Large Images"
A dataset of datasets for learning to learn from few examples
This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.