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Name: tony csoka
Type: User
Bio: Python backend developer.
Location: London, UK
Name: tony csoka
Type: User
Bio: Python backend developer.
Location: London, UK
Code for EMNLP 2023 paper "Anaphor Assisted Document-Level Relation Extraction"
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf
Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021
The AT Protocol (Bluesky) SDK for Python 🐍
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
An introduction to Bayesian statistics using Python and (coming soon) R.
Implementation of the BitLinear layer from: The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Classify files into different directories
A simple command line utility that organises files in a directory into subdirectories
app
The Metadata Platform for the Modern Data Stack
An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.
Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
source code for {D}ocument-level {R}elation {E}xtraction with {E}vidence-guided {A}ttention {M}echanism
DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)
Python API for Netgear LTE modems
Code for the CRAC 2021 paper "On Generalization in Coreference Resolution" (Best short paper award)
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Code that implements efficient knowledge graph extraction from the textual descriptions
Notebooks and code for the book "Introduction to Machine Learning with Python"
Open-source keyboard firmware for Atmel AVR and Arm USB families
A generalized information-seeking agent system with Large Language Models (LLMs).
The official implementation of the paper "Document-Level Relation Extraction with Relation Correlation Enhancement" (ICONIP 2023)
Natural Number Game
Learning Logic Rules for Document-Level Relation Extraction
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.