Sublime Text
Visual Studio Code
Vim
Notepad++
IntelliJ IDEA
Microsoft Visual Studio
Netbeans
Android Studio
Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
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:
Sublime Text ActiveloopActiveloop might be a bit more popular than Sublime Text. We know about 4 links to it since March 2021 and only 3 links to Sublime Text. 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.
I went through the key-bindings in Micro (which use different modifier keys) and added them to Sublime Text:. - Source: dev.to / over 1 year ago
Oh, and sublimetext.com too if you prefer something "cleaner". It is multi-platform too, like VSCodium. Source: over 2 years ago
Sublime Text Terminal Shortcuts and menu entries for opening a terminal at the current file, or the current root project folder in Sublime Text. - Source: dev.to / over 3 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: about 1 year 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: about 2 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 2 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 2 years ago
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.
Vim - Highly configurable text editor built to enable efficient text editing
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.