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LSTM and QRNN Language Model Toolkit for PyTorch
Multi-language Char RNN for TensorFlow >= 1.2.
📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like previous close price, actual previous close price, open price, market capitalization, total market value, price-to-earning ratio and price-to-book ratio, along with corresponding Sina Weibo and Baidu News sentiment scores.
yolo3+ocr
Convolutional Neural Networks
darknet text detect and darknet cnn ocr
learn in datamining
Text recognition (optical character recognition) with deep learning methods.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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.
Interactive machine learning for text analysis
Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
This is the code for our EMNLP 2018 paper "Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation"
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
近年来事件抽取方法总结,包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型,DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Implementation and experiments of graph embedding algorithms.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
AlphaPose + ST-GCN + SORT.
Kaggle Two Sigma 2nd Prize Winning Code https://www.kaggle.com/c/two-sigma-financial-news
Kaggle 2sigma financial news
labelImg2 with rotated box and extra label support
DeepLearning,mainly LSTM
Collection of solutions for Kaggle competitions
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.