Learning-Loss-for-Active-Learning

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

A modular active learning framework for Python

Code for the Lovász-Softmax loss (CVPR 2018)

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Pytorch implementation of Center Loss

Bayesian active learning library for research and industrial usecases.

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

Everything you need about Active Learning (AL).

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Deep Active Learning