I accidentally tried to train 1 Quadrillion parameters - and a story of structural bias

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
qubo quantum-computing qc quantum-machine-learning quantum-ml

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured

  • qubo-nn

    Classifying, auto-encoding and reverse-engineering QUBO matrices

    • In the course of that project (see here: https://github.com/instance01/qubo-nn) the second part turned out to be quite tough, likely due to the high dimensionality (4096 input size). In the post above I go through a mistake I made in which I assumed underfitting whereas in reality my data had structural bias (randomness that cannot be learnt by a neural network).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts