Medical Chat
Code GPT
Frontyssey
Digma.ai
debugcode.ai
Makerbook
GitHub Copilot
FluentPro FluentBooks
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Medical Chat is a cutting-edge AI chatbot tailored for healthcare professionals to deliver prompt and precise responses to intricate medical inquiries. It stands as an indispensable resource for doctors, nurses, and veterinarians, offering detailed insights into medical conditions, treatments, and medication for both humans and animals. Key highlights include its comprehensive drug database, specialized veterinary support, and a sophisticated AI model trained for deep medical knowledge. This tool streamlines access to medical information, significantly enhancing the efficiency of healthcare practice. Furthermore, it supports medical research, patient education, and emphasizes the necessity of professional consultation. With its capability to cite credible professional sources, Medical Chat distinguishes itself by maintaining the integrity and credibility of its information, making it an exceptional assistant in the fast-paced medical field.
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Based on our record, NumPy seems to be a lot more popular than Medical Chat. While we know about 112 links to NumPy, we've tracked only 2 mentions of Medical Chat. 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’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out Medical Chat here [https://medical.chat-data.com/chat]. We also provide the end-to-end medical chat deployment and API service through (Chat Data)[https://www.chat-data.com/] So. what's the selling point of (Medical Chat)[https://medical.chat-data.com] because the either Gemi... - Source: Hacker News / 3 months ago
Medical Chat [https://medical.chat-data.com/] (has chat, requires sign-up). Source: about 1 year ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 20 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 27 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Code GPT - Artificial intelligence inside Visual Studio Code
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Frontyssey - Escape your tutorial hell
OpenCV - OpenCV is the world's biggest computer vision library
Digma.ai - See what your code is doing wrong, as you code, in the IDE
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.