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A PyTorch implementation of the Transformer model in "Attention is All You Need".
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Contrastive Language-Image Pretraining
Conditional Theorem Proving
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
The Schema-Guided Dialogue Dataset
Facebook AI Research Sequence-to-Sequence Toolkit
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A faster pytorch implementation of faster r-cnn
PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713
Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.
A toolkit for developing and comparing reinforcement learning algorithms.
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Meandering In Networks of Entities to Reach Verisimilar Answers
Multi-Level Memory for Task Oriented Dialogs
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"
An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
Neural-symbolic visual question answering
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"
An Open Source Machine Learning Framework for Everyone
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.