Pinned Repositories
Anglican_fwtu
Frank Woods Anglican / Clojure tutorials
HMC_pytorch_for_ProbProg
All of my mini project2 files
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.
ppx
ppx protocols for more simulators
pyfo
PYLFPPL-HMC interface for performing inference in directed graphical models
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
reduce_bias
An app for collecting data to help in the fight to make AI algorithms more inclusive
Stacked_kernel
Stacked Gaussian Processes, for performing inference on small datasets.
informal-settlements
The code for the following papers: https://arxiv.org/pdf/1812.00786.pdf and https://arxiv.org/abs/1901.00861 see the website for more details:
pyprob
A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
bayesianbrad's Repositories
bayesianbrad/reduce_bias
An app for collecting data to help in the fight to make AI algorithms more inclusive
bayesianbrad/welfairy-app
Flask welfairy app
bayesianbrad/AI-basketball-analysis
:basketball::robot::basketball: AI web app and API to analyze basketball shots.
bayesianbrad/ar-cutpaste
Cut and paste your surroundings using AR
bayesianbrad/bayesianbrad.github.io
bayesianbrad/blockchain-webapp
A simple blockchain web application using the basic concepts.
bayesianbrad/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesianbrad/ccfs-python
Canonical Correlation Forests (CCFs)
bayesianbrad/drought-prediction
A Machine Learning Pipeline to Predict Vegetation Health
bayesianbrad/ergo
A Python library for integrating model-based and judgmental forecasting
bayesianbrad/gluon-ts
Probabilistic time series modeling in Python
bayesianbrad/go-ethereum
Official Go implementation of the Ethereum protocol
bayesianbrad/graph-neural-network-learning
bayesianbrad/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
bayesianbrad/igel
a machine learning tool that allows to train, test and use models without writing code
bayesianbrad/logseq
A privacy-first, open-source platform for knowledge sharing and management.
bayesianbrad/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
bayesianbrad/mlalgs
A collection Machine Learning algorithms implemented from scratch
bayesianbrad/nflows
Normalizing flows in PyTorch
bayesianbrad/notes
bayesianbrad/openmalaria_probprog
PPX protocols for open malaria
bayesianbrad/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
bayesianbrad/ppx-1
Probabilistic Programming eXecution protocol (PPX)
bayesianbrad/python_blockchain_app
A fully functional blockchain application implemented in Python from scratch (with tutorial).
bayesianbrad/seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
bayesianbrad/sktime
A scikit-learn compatible Python toolbox for machine learning with time series
bayesianbrad/tdw
ThreeDWorld simulation environment
bayesianbrad/theloop
Educational app
bayesianbrad/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
bayesianbrad/tutorials
repository with the tutorials for MLSS Skoltech