Why does trained model fail on new data?

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
point-cloud Deep Learning Classification Segmentation 3d-shape

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

  • pointnet2

    PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

    • Is this how you trained the segmentation? https://github.com/charlesq34/pointnet2

  • 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

  • Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out

    6 projects | news.ycombinator.com | 15 Feb 2021

  • Getting Started with Gemma Models

    4 projects | dev.to | 15 Apr 2024

  • Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing

    2 projects | news.ycombinator.com | 7 Apr 2024

  • A History of CLIP Model Training Data Advances

    8 projects | dev.to | 13 Mar 2024

  • Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost

    1 project | /r/singularity | 16 Jun 2023