archerzj Goto Github PK

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

ai-paper-collector

Fully-automated scripts for collecting AI-related papers

airplay-sdk

Airplay Receiver SDK supports Airplay Mirroring and AirPlay Casting to a receiver device.

allennlp_attention_ner

Source code for AAAI 2021 paper "A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition""

awesome-llm-tuning-papers

收集微调LLMs的paper,持续更新中

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathmatical Foundation of Reinforcement Learning."

camelot

A Python library to extract tabular data from PDFs

course

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

graphcaps

hands-on-machine-learning-with-scikit-learn-and-scientific-python-toolkits

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

hands-on-one-shot-learning-with-python

Hands-On One-shot Learning with Python, published by Packt

hello_fudan

⚙ 自动化平安复旦助手 (带验证码识别)

hellogithub

:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

icassp_code_datasets

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

large-language-models-and-aigc

leetcode

Coding Desire Daily（每日必码）

lhy_dl_hw

lihang-code

《统计学习方法》的代码实现

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

n-ary-dataset

Datasets for cross-sentence n-ary relation extraction dataset.

n-ary-relation-extraction-from-news-articles

This thesis presents three main contributions to the essential questions of the corresponding research. The first contribution is data scraping from Wikipedia news articles using web-scraper, which further deals with extraction of entities and relations from news events by using constituency parser from natural language processing toolkit. The second contribution presents the annotation interface for annotation purposes. Finally, the third contribution pertains to annotated arguments and entities from the annotation interface, passed through the relation extraction framework based on Long Short Term Memory (LSTM) and Multi-Task Learning (MTL). The model has been evaluated on datasets and its performance is measured on the evaluation metrics, demonstrating the model’s effectiveness with supervised learning and MTL, which has significantly improved the extraction accuracy. Keywords: Information extraction, relation extraction, entity extraction, n-ary relation extraction, constituency parser, annotation interface, Long Short Term Memory (LSTM) and Multi-Task Learning (MTL).

nary-relation-extraction-decomposed

Cross-sentence n-ary relation extraction with decomposed lower-arity universal schemas.

ner

命名实体识别实践与探索

ner_entityrelationextration

实体识别和关系抽取的联合模型

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_textclassifier

基于word2vec预训练词向量； textCNN 模型 ；charCNN 模型 ；Bi-LSTM模型；Bi-LSTM + Attention 模型 ；Transformer 模型 ；ELMo 预训练模型 ；BERT 预训练模型的文本分类项目

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning