Weights & Biases
neptune.ai
Managed MLflow
Algorithmia
Comet.ml
Spell
MCenter
Iterative.ai
Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Google Cloud TPUs
Roboflow Universe
Touchpoint Dashboard
Pretrained AI
Weights & Biases Scale NucleusNo Weights & Biases videos yet. You could help us improve this page by suggesting one.
Based on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
Aquarium - Improve ML models by improving datasets they’re trained on
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
ML Image Classifier - Quickly train custom machine learning models in your browser