NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
ML Kit (by Google)
ML Showcase
ZIR Semantic Search
ZXing
LeakCanary
Hasty.ai
Bifrost Data Search
Apple Core ML
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Based on our record, NumPy seems to be a lot more popular than ML Kit (by Google). While we know about 119 links to NumPy, we've tracked only 9 mentions of ML Kit (by Google). 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.
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
I was trying to decide on some Flutter side project to exercise some organizations and concepts from the framework and since AI is at hype I did some research and found out about Google Machine Learning kit which is a set of machine learning tools for different tasks such as face detection, text recognition, document digitalization, among other features (you should really check the link above). They're kinda plug... - Source: dev.to / 11 months ago
The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google. Source: about 2 years ago
Assuming you're talking about leveraging the device's the device's Tensor Processing unit for machine learning then there then you're in luck because Google designed the TPU to work extremely well with the machine learning solutions developed by Google such as easy to use SDKs, robust runtimes and APIs ( e.g. - which you probably aren't going to need to touch). If you're a researcher there's plenty of lower level... Source: over 2 years ago
Google's ML Kit https://developers.google.com/ml-kit. Source: over 2 years ago
Thanks. The name of the ML package is "ML Kit". This one: https://developers.google.com/ml-kit. Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ML Showcase - A curated collection of machine learning projects
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ZIR Semantic Search - An ML-powered cloud platform for text search
OpenCV - OpenCV is the world's biggest computer vision library
ZXing - Barcode Scanner for Android
