Pinned Repositories
aistats2020smi
Semi-Modular Inference. Code for the AISTATS article by Carmona & Nicholls (2020)
autograd
Efficiently computes derivatives of numpy code.
BayesLogit
:exclamation: This is a read-only mirror of the CRAN R package repository. BayesLogit — Logistic Regression
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
BNPMIXcluster
Model-based clustering with mixed scale variables
deep-learning-coursera
dlaicourse
Notebooks for learning deep learning
DynMultiNet
Bayesian Learning of Dynamic Multilayer Networks
modularbayes
Scalable Semi-Modular Inference with Variational Meta-Posterior
stat_222_chris_carmona
Christian Carmona's Research Project
chriscarmona's Repositories
chriscarmona/DynMultiNet
Bayesian Learning of Dynamic Multilayer Networks
chriscarmona/aistats2020smi
Semi-Modular Inference. Code for the AISTATS article by Carmona & Nicholls (2020)
chriscarmona/stat_222_chris_carmona
Christian Carmona's Research Project
chriscarmona/BNPMIXcluster
Model-based clustering with mixed scale variables
chriscarmona/modularbayes
Scalable Semi-Modular Inference with Variational Meta-Posterior
chriscarmona/autograd
Efficiently computes derivatives of numpy code.
chriscarmona/BayesLogit
:exclamation: This is a read-only mirror of the CRAN R package repository. BayesLogit — Logistic Regression
chriscarmona/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
chriscarmona/deep-learning-coursera
chriscarmona/dlaicourse
Notebooks for learning deep learning
chriscarmona/ELSM
Implementation of the model given in our AAAI-19 paper titled "A Generative Model for Dynamic Networks with Applications"
chriscarmona/gluon-ts
Probabilistic time series modeling in Python
chriscarmona/GPflow
Gaussian processes in TensorFlow
chriscarmona/hitchhikers-guide
The Hitchhiker's Guide to Data Science for Social Good
chriscarmona/LCD-show
3.2" 3.5" 5.0" 7.0" TFT LCD driver for the Raspberry PI and PI 2 and PI 3
chriscarmona/oxford-poster
LaTeX beamer poster template themed for the University of Oxford
chriscarmona/Project-stat243
chriscarmona/PyDMN
Variational Inference of Dynamic Multilayer Networks
chriscarmona/pyro
Deep universal probabilistic programming with Python and PyTorch
chriscarmona/pytorch_examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
chriscarmona/seaborn
Statistical data visualization using matplotlib
chriscarmona/slides
chriscarmona/torchVI
Implementing a variety of Variational Inference approaches with PyTorch
chriscarmona/tutorials
chriscarmona/unbiasedmcmc
Unbiased Markov chain Monte Carlo with couplings
chriscarmona/vision
Datasets, Transforms and Models specific to Computer Vision