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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, Paper, Competition, Onlline System
Transfer learning for time series classification
BiNE: Bipartite Network Embedding
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
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
Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具
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.
2018**‘法研杯’法律智能挑战赛(CAIL2018)个人作品
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.
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
DeepHawkes: Popularity Prediction of Information Cascades
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
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.
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。
A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
Code implementing generative models using 'extreme value loss'.
Fast R-CNN
A toolbox of Hawkes processes
Predict author h-index and paper citation counts on the dataset underlying Semanic Scholar
物联网安全开源图书
The information of computer journal
Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"
Exploring chlorophyll predictions for Lake Whatcom, WA via Google Earth Engine.
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.
Text Classification using Mamba Model
Mapgen4 procedural wilderness map generator
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.