Must-read papers on prompt-based tuning for pre-trained language models.

A game theoretic approach to explain the output of any machine learning model.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

NMT for chinese-english using fairseq

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Unsupervised text tokenizer for Neural Network-based text generation.

Fast BPE

PyTorch original implementation of Cross-lingual Language Model Pretraining.

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Co…

Ranking Sentences for Extractive Summarization with Reinforcement Learning

Python Multi-Agent Reinforcement Learning framework

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

Deep Reinforcement Learning For Sequence to Sequence Models

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Deep Reinforcement Learning

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"