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Fast, efficiently stored Trie for Python. Uses libdatrie.
DAFSA-based dictionary-like read-only objects for Python. Based on `dawgdic` C++ library.
百度开源的依存句法分析系统
The implementation of DeBERTa
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
The Natural Language Decathlon: A Multitask Challenge for NLP
An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Deep Active Learning
Code accompanying the paper "Effective Estimation of Deep Generative Language Models".
Deep Generative Models for Natural Language Processing, conference mapping and paper list
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
PyTorch implementations of deep reinforcement learning algorithms and environments
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application
Practical assignments of the Deep|Bayes summer school 2019
vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
Deep Clustering for Unsupervised Learning of Visual Features
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
Towards deepfake detection that actually works
An Open Toolkit for Knowledge Base Population(DeepKE是一个支持低资源、长篇章的开源知识抽取工具,具备命名实体识别、关系抽取和属性抽取等功能)
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
Deep Learning Examples
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch
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.