lawrennd / old_talksLinks
Talks from Neil Lawrence
☆54Updated 2 years ago
Alternatives and similar repositories for old_talks
Users that are interested in old_talks are comparing it to the libraries listed below
Sorting:
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆184Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- ☆50Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Variational Fourier Features☆87Updated 4 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 7 years ago
- ☆26Updated 7 years ago
- my PhD thesis on Bayesian inference☆27Updated 12 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 7 years ago
- ☆30Updated 3 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 11 years ago
- Code for AutoGP☆27Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆34Updated 6 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- ☆40Updated 6 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 8 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆189Updated 11 years ago