Mli Libraries

Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and…

Build apps —effortlessly and quickly ⚡. It simplifies Pythonic development for everything from backends to frontends (yes, visually 🦚stunning frontends in Python!), AI integrations, APIs, and beyond—…

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…

If that sounds like a lot, don't worry. After you cover this course, you will understand everything we said before. Most importantly, you will know WHY we used all these tools and how they work toget…

FrogBase currently provides functionality to: This section is for software developers who want to use FrogBase as a python package. Import FrogBase and use it as follows - This section is for non-tec…

To install the latest development version, run: When working on NiBabel itself, it may be useful to install in "editable" mode:

Note: If possible register your account with a company email address. Once you have a subscription id apply for Azure Open AI Service here: GenEng revolution being led by developers who build deep pr…

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques i…

Copy this code snippet: Example: Both webpack dev server and Streamlit should run at the same time.

To run the example in a machine running Docker and docker compose, run: Logs can be inspected via:

But, PySpark+Jupyter combo needs a little bit more love :-) Resilient Distributed Datasets (RDD) is a fundamental data structure of Spark. It is an immutable distributed collection of objects. Each d…

To build the project and run the style/linter checks, execute:

The downstream NLP tasks covered: News Classification Entity Recognition Sentiment Analysis Summarization The user can select different models from the drop down to run the inference. The users can a…

Here’s a snapshot of what you’ll find in this repository: Contributions, suggestions, and feedback are always welcome! If you have ideas on how to improve these scripts or want to share your experien…

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

Additionally, you can deploy the app anywhere based on the document. Provide two models: LangChain is a framework for developing applications powered by language models. It supports the following app…

Profitable stocks and crypto trading involves a lot of know how and experience in Technical Analysis. However, the fundamentals behind technical analysis techniques, tools, resources and effective st…

  Moreover, you may find here some Colab notebooks without a theoretical tutorial (yet). I decided to upload the code before I finished writing the theoretical part (this would be indicated). I am co…

The contents of this repository is an analysis of using machine learning models to predict depression in people using health care data. This analysis is detailed in hopes of making the work accessibl…

The app can be deployed using Docker Compose using the following command: If you want to deploy the app using the official container from Docker Hub, use the following commands:

In this version, we've added two major features to the project: We've also made the following improvements and bug fixes: We hope these updates will improve the overall functionality and user experie…

then run with This is an open source project, so you can contribute to this project by creating an issue than a pull request.