To our surprise, label errors are pervasive across 10 popular benchmark test sets used in most machine learning research, destabilizing benchmarks.

machine-learning confident-learning noisy-labels deep-learning pytorch

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...

deep-learning build-gpu-rig

We already know the best performance/cost GPUs for state-of-the-art deep learning and computer vision are RTX GPUs. So, which RTX GPU should you use? To help you decide, I benchmark the three premier GPUs: 2080 ti non-blower, 2080 ti blower,...

build-gpu-rig deep-learning pytorch

This is short post to explain the impact that GPU positioning can have on training time and suggest how to position your GPUs for better performance when you mix blower-style and non-blower GPUs. Consider a deep learning workstation with the...

build-gpu-rig deep-learning pytorch

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...

machine-learning confident-learning noisy-labels deep-learning