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name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

nary-grn

Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"

neural-combinatorial-optimization-rl-tensorflow

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

ocr-crnn-ctc

ocr, cnn+lstm+ctc, crnn, recognition model, tensorflow

ocr-detection-ctpn

OCR, CNN+LSTM (CTPN) for image text detection, tensorflow

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

pfn

EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction

pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

pointer-generator-refactored

Modified. "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

powerpoint-to-pdf

A set of Python scripts to convert PowerPoint (PPT/PPTX) files to Adobe PDF

prelm

Pretrained Language Models

pydecision

A python MCDA Library - AHP; Fuzzy AHP; ARAS; Borda; BWM; CODAS; COPRAS; CRITIC; DEMATEL; Fuzzy DEMATEL; EDAS; Fuzzy EDAS; ELECTRE (I, I_s, I_v, II, III, IV, Tri-B); GRA; IDOCRIW; MABAC; MOORA; MOOSRA; MULTIMOORA; PROMETHEE (I, II, III, IV, V, VI, Gaia); SAW; SMART; TOPSIS; Fuzzy TOPSIS; VIKOR; Fuzzy VIKOR; WINGS; WSM; WPM; WASPAS

pyhanlp

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

qr-dqn

PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression

quantile-regression-dqn-pytorch

A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

r-bert

Pytorch re-implementation of R-BERT model

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

re-agcn

re-context-or-names

Bert-based models(BERT, MTB, CP) for relation extraction.

reinforce4zp

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

resnet20-cifar-10

ResNet20, CIFAR-10,

retro_branching

Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-algorithm

Hello😜

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"