Perl
Python
C++
Go Programming Language
Ruby
Lua
Java
D (Programming Language)
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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Perl might be a bit more popular than Activeloop. We know about 5 links to it since March 2021 and only 4 links to Activeloop. 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.
But what would be a better symbol? I just saw, that perl.org also has a littel camel face on the site :-). Source: about 3 years ago
And just while I wrote this I saw this on perl.org which may be an interesting read (although I prefer writing some things in Bash despite being a 20 year+ perl user). Source: almost 4 years ago
I'm going through the textbook "Beginning Perl" located at perl.org, and I'm having a confuse with one of the example questions. I'm supposed to determine the order of operations for 26 + 3 ^ 4 * 2. According to the precedence table in the textbook, + and * come before ^. So I think the answer should be ((26 + 3) ^ (4 * 2)), but the book says the answer is 26 + (3 ^ (4 * 2)). Can anyone help me figure out what... Source: about 4 years ago
See "A regularly updated compendium of Perl IDEs to be hosted on perl.org" at https://grants.perlfoundation.org/. Source: about 5 years ago
Use Net::Curl::Easier; Use Net::Curl::Promiser::Mojo; Use Mojo::Promise; My $easy1 = Net::Curl::Easier->new( url => 'http://perl.org', followlocation => 1, ); My $easy2 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url => 'imap://mail.example.com/INBOX/;UID=123', ); My $easy3 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url =>... - Source: dev.to / over 5 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 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: about 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
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
Scale - Get human tasks done with just one line of code.