We often deal with label errors in datasets, but no common framework exists to support machine learning research and benchmarking with label noise. Announcing cleanlab: a Python package for finding label errors in datasets and learning with noisy labels. cleanlab...
Welcome to L7,
a place for machine learning and human learning.
Why L7? An
L or a
7 alone are fragile shapes, but combined they form a sturdy square. This is an allegory for human learning and machine learning.
L7 captures that symmetry about the diagonal. The
L7 counts the letters after the
This post overviews the paper Confident Learning: Estimating Uncertainty in Dataset Labels authored by Curtis G. Northcutt, Lu Jiang, and Isaac L. Chuang.
In a previous post, Build a Pro Deep Learning Workstation… for Half the Price, I shared every detail to buy parts and build a professional quality deep learning rig for nearly half the cost of pre-built rigs from companies like...
The Benchmarking Keras PyTorch GitHub project benchmarks every pre-trained model in PyTorch and Keras (Tensorflow). All benchmarks are reproducible.
03/07/2019 This post is in the all-time highest ranked posts on Reddit in the r/MachineLearning forum. 03/21/2019 Updates: Amazon links added for all parts. Added Blower-style GPU, faster/cheaper M.2 SSD, and other options. 04/16/2019 Update: A better build is available...