Hasty.ai
Labelbox
ByteBridge.io
Labeling AI
Universal Data Tool
Segments.ai
Dataloop AI
Edgecase.ai
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
Hasty’s end-to-end AI platform helps automate and accelerate the whole life-cycle of implementing vision AI in real life for agricultural, manufacturing, logistic, mining, and other industrial companies. Our data-centric platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping you bring value-added services to your product.
Hasty.aiBased on our record, NumPy seems to be a lot more popular than Hasty.ai. While we know about 119 links to NumPy, we've tracked only 2 mentions of Hasty.ai. 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.
Try https://hasty.ai, seems to be pretty much exactly what you're looking for. Source: over 3 years ago
At hasty.ai, we're working on agile ML tooling for vision AI to help our users get to production more reliably. A huge part of this is to automate and speed the data preparation process. Source: almost 4 years ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
Labelbox - Build computer vision products for the real world
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ByteBridge.io - Data Labeling Outsourced Service: get your ML training datasets cheaper and faster!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Labeling AI - Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.
OpenCV - OpenCV is the world's biggest computer vision library