Search Results for "i2b2 shared task"
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Showing 37 open source projects for "i2b2 shared task"
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Phproject
A high performance full-featured project management system
Phproject is a modular project management platform built with PHP. It includes task management, file sharing, time tracking, and calendars, making it a versatile tool for team productivity. Phproject is fully self-hosted and ideal for organizations needing a customizable, open-source project management solution. -
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CC Mirror
Create multiple isolated Claude Code variants with custom providers
...It also includes an interactive terminal UI for discovering, creating, and launching these isolated variants with a single command, making setup and switching effortless. For teams, cc-mirror’s team mode brings shared task storage and coordinated multi-agent workflows using shared goals and task lists that agents can collaborate on; this is useful for scaling up agentic coding across complex projects. -
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Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes
...It introduces a declarative syntax for specifying build scripts, automation pipelines, environment setups, and project-specific commands so contributors don’t need to memorize disparate scripts or tooling across languages and ecosystems. Cua can also manage task dependencies, handle cross-platform invocations, and simplify complex workflows into simple aliases or compound commands that are easy to share in teams. By centralizing shared commands in a structured, documented config, it helps reduce errors, accelerates onboarding of new contributors, and keeps task definitions versioned with the codebase. ... -
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Automa
A chrome extension for automating your browser by connecting blocks
...Try a workflow from the marketplace. There're dozens of workflows been shared by Automa users which you can add and customize. Auto-fill forms, do a repetitive task, take a screenshot, or scrape website data, the choice is yours. You can even schedule when the automation will execute! Browse the Automa marketplace where you can share and download workflows with others. -
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given image—even without explicit training for that classification task. -
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Vikunja
The to-do app to organize your life
Vikunja is a modern to-do list and personal organization platform designed to help individuals and teams keep track of tasks, projects, and life goals in one place with intention and simplicity. It’s a self-hosted, open-source app with a backend API and frontend clients that let you create tasks, organize them into lists or projects, set due dates and priorities, and collaborate with teammates or family members. Unlike many simplistic check-off lists, Vikunja provides options for nested... -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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Lingvo
Framework for building neural networks
Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state of the art architectures such as recurrent neural networks, Transformer models, variational autoencoder hybrids, and multi task systems. ... -
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Kubespider
A global resource download orchestration system
We are a community of individuals who share a passion for life and have come together based on shared interests and needs. In our free time, we collaborated to develop Kubespider. Kubespider is developed to utilize an idle server in a local area network as a NAS, enabling automatic downloads of TV series, triggering downloads from a local laptop, and adapting to various websites such as YouTube and BiliBili, as well as different types of resources such as TV series, movies, music and more.... -
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any... -
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BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring
BIG-bench (Beyond the Imitation Game Benchmark) is a large, collaborative benchmark suite designed to probe the capabilities and limitations of large language models across hundreds of diverse tasks. Rather than focusing on a single metric or domain, it aggregates many hand-authored tasks that test reasoning, commonsense, math, linguistics, ethics, and creativity. Tasks are intentionally heterogeneous: some are multiple-choice with exact scoring, others are free-form generation judged by... -
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MPS Box
SNMP Printer-MIB2, Reporting, Alerting, MPS (Managed Print Services).
This OpenSource project created with an aim to help office Administrators to manage their printing equipment: Gather supplies usage statistics and Control paper usage via printer's impressions counters, get printer alerts. Send out virtually any data collected via SNMP to E-Mail (Message body, XML attachments). At the same time it have all required functions to support MPS (Managed Print Services) business basics out of the box. Recent code shared with a community via GIT repository. ... -
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Fluent Bit Plugin for CloudWatch Logs
A Fluent Bit output plugin for CloudWatch Logs
...This plugin uses the AWS SDK Go, and uses its default credential provider chain. If you are using the plugin on Amazon EC2 or Amazon ECS or Amazon EKS, the plugin will use your EC2 instance role or ECS Task role permissions or EKS IAM Roles for Service Accounts for pods. The plugin can also retrieve credentials from a shared credentials file, or from the standard AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN environment variables. A template in the form of $(variable) can be set in log_group_name or log_stream_name. variable can be a map key name in the log message. ... -
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ParlAI
A framework for training and evaluating AI models
ParlAI is a comprehensive research platform for building, training, and evaluating dialogue agents across a wide variety of tasks and datasets. It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. ... -
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KMM RSS Reader
This is an open-source, mobile, cross-platform application
...This repository contains a common Kotlin Multiplatform module, a Android project and an iOS project. The common module is connected with the Android project via the Gradle multi-project mechanism. For use in iOS applications, the shared module compiles into a framework that is exposed to the Xcode project via the internal integration Gradle task. This framework connects to the Xcode project that builds an iOS application. -
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Twake
Twake is a secure open source collaboration platform
Simple and secure collaboration platform that improves your team productivity. Fully compliant with GDPR. Twake is powered by Linagora, trusted by more than 3000 organizations around the world to improve their organizational productivity. Communicate seamlessly with your team using channels. Invite external users, start a video meeting, share files, and collaborate on documents. Manage your project timelines, create new tasks, move tasks based on their progress, and assign duties and... -
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Open Source News Network
Open Source News Network
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pybotlib
Python Robotic Process Automation Library
pybotlib is a python library for developing Robotic Process Automation projects easily with python primarily on Linux. It contains the code for a central object that will maintain the state and behavior of the RPA. The focus of the project is to accelerate RPA development at scale using open source technology. The package is split into two parts the pybotlib.VirtualAgent object that will control the overall behavior of your RPA as well as pybotlib.utils that contain many useful functions for... -
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from being realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our... -
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tyto
Manage and organize things
tyto is an extensible and customizable management and organization tool. Minimal UI, no accounts necessary, intuitive, extensible, localStorage persistence, time tracking, sortable UI, task linking, Markdown support, etc. Tyto arose from the want for an electronic post-it board without the need for accounts. Something simple and intuitive that could be easily shared. It's also the product of my own curiosity being used as an opportunity to pick up new tech stacks. It started as a vanilla JS app utilising one file and experimenting with HTML5 drag and drop. ... -
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JavaCá&Lá
A java middleware for HPC and IoT
The Java Cá&Lá (or just JCL - www.javacaela.org) is a middleware that integrates high performance computing (HPC) and Internet of things (IoT) in a unique API. It enables asynchronous remote method invocation and distributed shared memory services over multicore computer architectures or over multicomputer clusters. Sensing services are also feasible in JCL IoT version. An API for internal control enables collecting several times and memory usage of tasks submitted to the JCL cluster.... -
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A simple long time planning sketching tool for managing tasks of human resources. Rather than trying to automate the planning proccess the goal of this project is to support the task of planning the resource allocations in group sessions.
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QuickSched
Scheduler for task-based shared-memory parallelism
QucikSched is a scheduler for task-based shared-memory parallelism which supports task dependencies and conflicts, as well as task-based scheduling on GPUs. -
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Core Analyzer
A power tool to debug core dump, memory corruption, optimized code.
The project is now hosted on github: https://github.com/yanqi27/core_analyzer.git Core analyzer is a power tool to debug memory issues. With ever increasing complexity and dataset size of application programs, it is very challenging to find the root cause of a memory bug. Programmers often use debugger to go through many contexts or data objects in order to hunt down a suspicious variable or object. However, the task is boring, prone to error and usually fruitless. By parsing a core dump...
