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Header-only C++/python library for fast approximate nearest neighbors
Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Hopfield Networks is All You Need
Distributed training framework for TensorFlow, Keras, and PyTorch.
Official repository for HP-VAE-GAN
Compare html similarity using structural and style metrics
Hummingbird compiles trained ML models into tensor computation for faster inference.
Deep Reinforcement Learning Framework + Algorithms
Implementation of the 2017 paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
This repository holds code of our ICDM paper.
Code for ICE-BeeM paper - NeurIPS 2020
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
北航大数据高精尖中心张日崇研究团队对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行调研。
Implicit Geometric Regularization for Learning Shapes
Iguanas is a fast, flexible and modular Python package for generating a Rules-Based System (RBS) for binary classification use cases.
Code accompanying the ACL paper "Enabling language models to fill in the blanks" (Donahue et al. 2020)
Official implementation of Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
公式图片ocr,输入图片输出对应的latex表达式
This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 2019).
Improving Neural Text Generation with Reinforcement Learning
An exploration for Eventline (important news Rank organized by pulic time),针对某一事件话题下的新闻报道集合,通过使用docrank算法,对新闻报道进行重要性识别,并通过新闻报道时间挑选出时间线上重要新闻。
InferSent sentence embeddings
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Code for our ICML'20 paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective"
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.