Search Results for "i2b2 shared task"
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Showing 10 open source projects for "i2b2 shared task"
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. It emphasizes communication and coordination, ensuring that agents can contribute meaningfully to shared objectives. ... -
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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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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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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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5
redshirt
Operating system
Redshirt is an experimental operating system written in Rust that explores new approaches to OS design by emphasizing asynchronous execution, message passing, and modularity. It is built around a microkernel-inspired architecture where components communicate through well-defined interfaces rather than relying on shared state. The system is designed to run on top of WebAssembly, using it as a portable and sandboxed execution layer for processes and services. Redshirt aims to rethink traditional operating system concepts by leveraging modern programming paradigms such as async/await and capability-based security. It includes components for task scheduling, device interaction, and system services, all implemented in a highly modular fashion. ... -
6
aictx
Repo-local continuity runtime for AI coding agents. Helps them continu
...AICTX keeps operational continuity inside the repo: - active Work State and next action; - execution summaries and handoffs; - explicit decisions; - known failures and resolved failure patterns; - strategy hints from successful prior work; - execution contracts and contract-compliance signals; - optional RepoMap structural entry points; - continuity quality signals for stale, missing, demoted, obsolete, or unverified context; - read-only Task Context Packs for focused task-specific context; - lifecycle diagnostics for incomplete or unfinalized sessions; - optional Git-portable continuity for small teams. It also makes continuity shared across agents. -
7
YOLOR
implementation of paper - You Only Learn One Representation
YOLOR is the implementation of “You Only Learn One Representation,” a unified network approach for learning explicit and implicit knowledge together. The project focuses on object detection while exploring how a shared representation can support multiple tasks. It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. ... -
8
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. ... -
9
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... -
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This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. ...
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