266 Open source projects that are alternatives of or similar to Active-Explainable-Classification

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Serverless Inferencing on Kubernetes

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

NLP tutorial

Dummy variable generation with fit/transform capabilities

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

Arabic Word Embeddings Word2vec

Active Learning in R

Yum-me is a nutrient based food recommendation system

Python library for custom entity recognition using Sklearn CRF

A pipeline for training word embeddings using word2vec on wikipedia corpus.

active learning for accelerated high-throughput virtual screening

GroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)

Topic modelling on financial news with Natural Language Processing

Code for Supervised Word Mover's Distance (SWMD)

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Tools for shrinking fastText models (in gensim format)

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Custom component for Home Assistant Core for Flair pucks, vents, rooms, structures, and minisplits

SImple SenTence EmbeddeR

Archives and Tasks for ML+ sessions

tools for fast reading of docs

Named-Entity Recognition in Persian Language

Base machine learning image and environment.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Danish Semantic analysis

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Emotiw2017 code

An automatic machine learning system

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Tools for detecting wildlife in aerial images using active learning

A library to parse and convert PMML models into Scikit-learn estimators.

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

Basis expansion transformers in sklearn style.

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

CS 7641 - All the code

detect objects using svm and opencv

Helps you organizing your paperwork

An AI Assistant More Than a Toolkit

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Template codes and examples for Python machine learning concepts

Exemplary, annotated machine learning pipeline for any tabular data problem.

Word2VecfJava: Java implementation of Dependency-Based Word Embeddings and extensions

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Real-time hand pose estimation and gesture classification using TensorRT

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Benchmarks for intrinsic word embeddings evaluation.

Very deep CNN for text classification

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

sciblox - Easier Data Science and Machine Learning