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2d-fft

3d-vector-template

active-bayesian-coresets

active-learning

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

activelearningframeworktutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

aishwaryahb.github.io

alls

Active learning under label shift.

an-introduction-to-bayesian-inference-in-pystan

Code for blog post on Bayesian inference in PyStan

badge

An implementation of the BADGE batch active learning algorithm.

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

batchbald_redux

Reusable BatchBALD implementation

benchmarking-reinforcement-learning-algorithms

chinese-word-detection

choix

Inference algorithms for models based on Luce's choice axiom

early-stopping-pytorch

Early stopping for PyTorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

go-game-position-recognition

handsontech

Introduction to image processing and style transfer

hawkes

Python class for generation and parameter estimation of multivariate Hawkes processes

hawkes-1

a python package for simulation and inference of Hawkes processes.

idealpointmetric

imbalanced-dataset-sampler

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

implementation-of-a-paralellized-neural-network

infonn

infotuple

Code supplement for "Active Ordinal Querying for Tuplewise Similarity Learning", appearing in AAAI 2020

iris-dataset-classification

kmeans_pytorch

kmeans using PyTorch

multithreading

multiuser-metric-preference

Paper code for "One for All: Simultaneous Metric and Preference Learning over Multiple Users"