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air_pollutants_prediction_lstm

This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

awesome-law-nlp-research-work

Awesome Law NLP Research Work, Paper, Competition, Onlline System

bigdata18

Transfer learning for time series classification

bine

BiNE: Bipartite Network Embedding

cartography

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

chatbot-base-on-knowledge-graph

使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统

chinese-annotator

Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

citation-count-prediction

We survey and compare different approaches that have been suggested in the past to solve the problem of predicting the future citation count of a scientific article after a given time interval of its publication. Further, we present a novel sequence-to-sequence learning model that outperforms current state-of-art.

competition_cail

2018**‘法研杯’法律智能挑战赛（CAIL2018）个人作品

crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

data_amylase

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deephawkes

DeepHawkes: Popularity Prediction of Information Cascades

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dowhy

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.

eda_nlp_for_chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

erpp-rmtpp

A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.

extremevalueloss

Code implementing generative models using 'extreme value loss'.

fast-rcnn

Fast R-CNN

hawkes-process-toolkit

A toolbox of Hawkes processes

impact-prediction

Predict author h-index and paper citation counts on the dataset underlying Semanic Scholar

journal-information

The information of computer journal

knowkeyword

knowprompt

Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"

landsat-lake-chlorophyll-earthengine

Exploring chlorophyll predictions for Lake Whatcom, WA via Google Earth Engine.

machine_learning_tensorflow_kaggel

Multiple kaggel competitions(housing price prediction, titanic survival prediction, digit recognition, and speech recognition) using GCP and Jupiter notebooks. Models: Linear regression, linear classification, DNN, CNN, and transferred learning with googles tfhub. Tools: python, tensorflow, pandas, and numpy.

mapgen4

Mapgen4 procedural wilderness map generator

marktool

MarkTool是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，MarkTool增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

motionmapper

Sample implementation of the MotionMapper behavioral analysis algorithms