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adversarial-multi-criteria-learning-for-cws

The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017

basilisk

BASILISK (Bootstrapping Approach to SemantIc Lexicon Induction using Semantic Knowledge)

breds

Bootstrapping Relationship Extractors with Distributional Semantics

chainer

A flexible framework of neural networks for deep learning

end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fasttext

Library for fast text representation and classification.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

iclr2016

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

infersent

Sentence embeddings (InferSent) and training code for NLI.

keras-gcn

Keras implementation of Graph Convolutional Networks

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural-dep-srl

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-cn

Document for Pytorch project

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

rfa-doc-mt

sentencepiece

seq2seq-chatbot-for-keras

This repository contains a new generative model of chatbot based on seq2seq modeling.

snowball

Snowball: Extracting Relations from Large Plain-Text Collections

vecmap

A framework to learn bilingual word embedding mappings

vilt

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"