A modular active learning framework for Python

Composable GAN framework with api and user interface

CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Scala Library/REPL for Machine Learning Research

A tool for supervised Machine Learning in OWL and Description Logics

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Coq Protocol Playground with Se(xp)rialization of Internal Structures.

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 package for time series data processing, classification, clustering, and prediction.

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.

Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.

Examples how MLJAR can be used

Simple Machine Learning Web API Example with Falcon

A Julia interface for training and applying models in machine learning and statistics

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.

Public tutorials and code that accompanies articles

Assisting library for the ML4CV tutorial based on scikit-learn.

Simple API serving for Python ML models

A collection of awesome Machine Learning software, libraries, Learning Tutorials, documents, books, resources and interesting stuff in ML

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

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.

R wrapper for MLJAR API

PHP Class to classify NSFW content via the PixLab Machine Vision APIs

A logical, reasonably standardized, but flexible project template for creating new AI based projects along with Flask APIs by using cookiecutter.

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 traffic lane.