DVC Studio
Machine Learning Playground
ML Showcase
Apple Machine Learning Journal
Lobe
Amazon Machine Learning
Weights & Biases
Gusto
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
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Activeloop might be a bit more popular than DVC Studio. We know about 4 links to it since March 2021 and only 3 links to DVC Studio. 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.
This functionality can be used from open source tool mlem.ai and our released UI - https://studio.iterative.ai/. Source: about 4 years ago
We build DVC.org (9.5K+ stars on GH), CML.dev (3K+ stars on GH), SaaS product - . Think about us as a Hashicorp for ML and MLOps. We are looking for senior Python (backend or systems programming) and front-end senior engineers. - Source: Hacker News / over 4 years ago
As long as I was using DVC and MLFlow together for a long time, I should say that this concept is going to its end. Both DVC and MLFLow are growing and expanding towards end-to-end solutions. DVC has grown into something bigger now: the team created products like CML (for ML CI/CD), MLEM (for model registry and deployment) and they even are developing DVC Studio (UI for experiments managements). The DVC team... Source: over 4 years ago
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: over 3 years ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: over 4 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
ML Showcase - A curated collection of machine learning projects
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Apple Machine Learning Journal - A blog written by Apple engineers
Scale - Get human tasks done with just one line of code.