olliethomas Goto Github PK

acre-cascade-starter

anthillmob

Testing if this works

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

boem-belugas-runtime

Code execution runtime for the "Where's Whale-do?" beluga photo-identification challenge

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

extinct-dino

fair-classification

Python code for training fair logistic regression classifiers.

fairlearn

Reductions for Fair Machine Learning

fairness-comparison

Comparing fairness-aware machine learning techniques.

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

fsic-test

Kernel-based adaptive linear-time independence test

guildai

Experiment tracking, ML developer tools

landscapes

lupi

Code base for Dissertation

mirrors-autoflake

Mirror of the autoflake package for pre-commit

ml-fairness-gym

ml_course

mlalgorithms

Minimal and clean examples of machine learning algorithms

olliethomas

olliethomas.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

other-website

Here is an alternate idea for our website. Hear me out!

paper-outline

plt

A path to Programming Language Theory enlightenment

presentations

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rae_reading_group

runai_multigpu

segment-everything-everywhere-all-at-once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

svm_with_cvxpy

SImple SVM with CVXPY

svr-plus