113 Open source projects that are alternatives of or similar to nbtransom

Python package for Customizable Data Preprocessing Pipelines

Classification of Breast Cancer diagnosis Using Support Vector Machines

ADENINE: A Data ExploratioN PipelINE

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

Active Learning for Text Classification in Python

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No description or website provided.

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

Python module for data scientists for quick creating annotation projects.

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Azure AKS Kubernetes Masterclass

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

MONAI Label is an intelligent open source image labeling and learning tool.

Notebook of the Crash Course of Pandas 2018

Kubeflow pipelines built on top of Tensorflow TFX library

active learning for accelerated high-throughput virtual screening

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

A simple client wrapper for doccano API.

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Open resource exchange platform for non-human primate neuroimaging

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Backend for ChRIS

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

A process management system written in python

Visualization extension for ASReview

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

Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.

tools for fast reading of docs

Serves as documentation, starter code, and companion guide for a DevOps 101 workshop using the JFrog platform.

Images used internally for running continuous integration/delivery tasks

🏵 Gee is tool of stdin to each files and stdout. It is similar to the tee command, but there are more functions for convenience. In addition, it was written as go

DataCLUE: 数据为中心的NLP基准和工具包

"Integrating Julia in real-world, distributed pipelines" for JuliaCon 2017

Active Learning in R

A task for Azure DevOps Pipelines to run newman tests.

A graphical user interface for distributed data processing of high throughput genomics

Open Source Human in the Loop platform for anyone to run their own private Mechanical Turk.

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

Tools for detecting wildlife in aerial images using active learning

The Refreshingly Simple Cross-Platform C++ Dataflow / Pipelining / Stream Processing / Reactive Programming Framework

Vent is a light-weight platform built to automate network collection and analysis pipelines using a flexible set of popular open source tools and technologies. Vent is python-based, extensible, leverages docker containers, and provides both an API and CLI.

JCLAL is a general purpose framework developed in Java for Active Learning.

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Reusable BatchBALD implementation

Yum-me is a nutrient based food recommendation system

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.

Web application framework for XSLT and XQuery developers

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

Handles OAuth and stores slack token

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.

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.

A collection of pipelines for Scrapy

A cookiecutter for projects with continuous delivery baked in.

No description or website provided.