An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
-
Updated
May 17, 2022 - JavaScript
{{ message }}
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
A collection of research papers on decision, classification and regression trees with implementations.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
A curated list of data mining papers about fraud detection.
A curated list of gradient boosting research papers with implementations.
Natural language detection library for Rust. Try demo online: https://whatlang.org/
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
custom human activity recognition modules by pose estimation and cascaded inference using sklearn API
A Naive Bayes machine learning implementation in Elixir.
Organize your folders into a beautiful classified folder structure with this perfect tool
A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
A pytorch implemented classifier for Multiple-Label classification
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Machine Learning inference engine for Microcontrollers and Embedded devices
ALBERT model Pretraining and Fine Tuning using TF2.0
An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
yet another general purpose naive bayesian classifier.
Scene text detection and recognition based on Extremal Region(ER)
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
A Machine Learning classifier for recognizing the digits for humans
NaiveBayes classifier for JavaScript
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
A sophisticated smart symptom search engine
Object classification with CIFAR-10 using transfer learning
Efficient tree-based convolutional neural networks in TensorFlow
Machine learning to classify Malicious (Spam)/Benign URL's
Add a description, image, and links to the classifier topic page so that developers can more easily learn about it.
To associate your repository with the classifier topic, visit your repo's landing page and select "manage topics."
Description
Add pytest script to test functions written in run_classifications.py.
Acceptance Criteria
-[ ] Add unit tests for functions in run_classifications.py