bayesianbrad

PyLFPPL

A Low-level first-order probabilistic programming language, with in built translation constraints for automatic model checking. A flexible PPL that can work with any inference algorithms that work with programs containing measure-zero discontinuities

Machine-Learning-and-Python-for-Beginners

Machine Learning and Python for Beginners. This repo will contain all the materials for 6-7 week course I shall teach to non-ML experts at Harris Manchester College, University of Oxford.

pyfo

PYLFPPL-HMC interface for performing inference in directed graphical models

pyprob

A PyTorch-based library for probabilistic programming and inference compilation

pyprob_cpp

C++ front end for the pyprob probabilistic programming library

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

spectral_ccfs

Extending the original CCFs package by Tom Rainforth to perform inference on Satellite imagery.

useful_things

A list of interesting tutorials, commands/tools for efficient work flow and papers

ppx

ppx protocols for more simulators

aabi

A repo for our 2019 AABI paper on Efficient Bayesian Inference for Nested Simulators

AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

ccfs-python

Canonical Correlation Forests (CCFs)

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

duckduckgo

DuckDuckGo Instant Answer Infrastructure

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

EuroSAT

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

guesstimate-app

Create Fermi Estimates and Perform Monte Carlo Estimates

ICML_AI4SG_Files

The files for our accepted ICML workshop paper: Hijacking Malaria Simulators with Probabilistic Programming. adley .J Gram-Hansen* Christian Schroeder de Witt*, Tom Rainforth, Phil H.S. Torr, Yee Whye Teh, Atılım Güneş Baydin

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

lazynlp

Library to scrape and clean web pages to create massive datasets.

machine-learning-flight-rules

A guide for astronauts (now, people doing machine learning) about what to do when things go wrong.

MTLCC

Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication

nflows

Normalizing flows in PyTorch

nn_physical_concepts

pycrop-yield-prediction

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

rrws

simplexdiet

A program to optimize the effort we spend on cooking and eating food.