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Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.
Implementation of advantage-weighted regression.
Brain Agent for Large-Scale and Multi-Task Agent Learning
Model interpretability and understanding for PyTorch
Code for Salesforce Research paper, CASPI: Causal-aware Safe Policy Improvement for Task-oriented dialogue - https://arxiv.org/abs/2103.06370
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Code for Continuous Doubly Constrained Batch Reinforcement Learning, NeurIPS 2021.
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents
An offline deep reinforcement learning library
Drift-Aware Multi-Memory Model (DAM3) for Imbalanced Data Streams
This repo is for paper Deep Bayesian Unsupervised Lifelong Learning
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [CVPR 2022]
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Large-scale pretraining for dialogue
Data and code for the paper "Dialogue Meaning Representation for Task-Oriented Dialogue Systems".
Training chatbot models with reinforcement learning in ParlAI.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Code for DS2 paper
Source code for Dialogue State Tracking with a Language Modelusing Schema-Driven Prompting
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. Accepted to NAACL 2022
Distributionally robust neural networks for group shifts
dialog system, icassp, dataset
Industrial Benchmark
Shared repository for open-sourced projects from the Google AI Language team.
This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
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.