i-machine-think Goto Github PK
Name: i-machine-think
Type: Organization
Name: i-machine-think
Type: Organization
Repository implementing attentive guidance
A list of resources dedicated to compositionality
Codebase for analysing compositional generalisation in NMT models, which allows you to run systematicity, productivity, substitutivity and idiom processing analyses.
diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
A toolkit for finding and analysing the grammars of emergent languages.
Scripts for Generalised Contextual Decomposition
[IJCAI 2024] GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models
Codebase for the i-machine-think project, a modular and fully tested Pytorch implementation for seq2seq models.
library to do analysis on machine
Datasets for compositional learning
Machine Metrics
Repository with code for interpretability analyses of a recurrent neural network predicting German plural nouns.
A library built on top of pytorch that provides tools to simplify the development of multi-agent referential games models that aims to research language emergence.
Specialised attention implementation : adding position attention and improving content attention.
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.