Trends.co
Exploding Topics
Glimpse
Trends.vc
Google Trends
The Twenty Minute VC (podcast)
GummySearch
TrendsFox
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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Based on our record, Trends.co seems to be a lot more popular than Activeloop. While we know about 75 links to Trends.co, we've tracked only 4 mentions of 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.
Sounds pretty similar to the situation I found myself in. I discovered a few newsletters/tools: trending insights (free), exploding topics ($39/mo), and trends.co ($300/ yr). Source: almost 3 years ago
i'm still going on upwork, still subbing to trends.co, explodingideas.co type content, still watching youtube to gain an edge. Source: about 3 years ago
After that the hustle team built trends.co which was the premium subscription newsletter,Getting into trends.co costs a whopping $299 but trends stood out from it's competitors through the community engagement feature, unlike other premium newsletter the subscribers can engage with other founders and people in their community. Source: about 3 years ago
I don't wanna discourage people from trying to make side income with AI novels done with ChatGPT/Claude, or coloring books done with Midjourney, but that's literally the lowest hanging fruit. Instead - maybe focus on some no-code AI apps you could build. I found plenty of success stories and ideas on sites like trends.co or theaiplug.co. Source: about 3 years ago
I really like the one I recommended above. If you are looking to invest a little I think the best possible one is trends.co but the only issue is that costs $300 a year or something. Source: about 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 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
Exploding Topics - Get inspirations for blog posts, startup projects, cocktail conversations and beyond on Trennd, the one-stop aggregator for emerging search and social trends.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Glimpse - Discover trends before they're trending
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Trends.vc - Discover new markets and ideas
Scale - Get human tasks done with just one line of code.