A modular active learning framework for Python
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Updated
Feb 26, 2024 - Python
A modular active learning framework for Python
Composable GAN framework with api and user interface
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
A simple python wrapper over MLJAR API.
API for the plant disease recognition artificial inteligence project which I collaborated on as a member of Team fort in the NaijaHacks hackaton.
Assisting library for the ML4CV tutorial based on scikit-learn.
Simple API serving for Python ML models
A Flask API to deploy machine learning models
Code repo for the Google Cloud Vision API for Python codelab scripts
This is a machine learning framework that enables developers to iterate fast over different ML architecture designs.
Minimal Learning Machine implementation using the scikit-learn API.
Self Driven Vehicle using AI in Robotics ,i.e., Kalman filters, A* algorithm, PID control, localization, etc.The basic functionality of this car is just to chase and catch the running away car just like cops. For this, the car is such designed that is takes all the desired steps on its own in order to catch the running away car safely on a high …
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
Google's Speech Synthesis, Text to speech conversion powered by machine learning
A logical, reasonably standardized, but flexible project template for creating new AI based projects along with Flask APIs by using cookiecutter.
This repo is focused on developing RESTful APIs with Flask, SQLAlchemy, (de)/serializing with Marshmallow, advance email confirmations, image uploads, database migrations, third party login with OAuth, Incremental feature delivery and payments with Stripe. Read the API Documentation and play with the API in Postman here 👇
Machine learning API framework, check out https://mlapi.io
Classify names into male/female using Neural Nets
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