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Visual Representation Learning Benchmark for Self-Supervised Models
Code for Variational Laplace Autoencoders
Voice Converter Using CycleGAN and Non-Parallel Data
PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"
A Tensorflow Implementation of VQ-VAE Speaker Conversion
Tensorflow implementation of the speech model described in Neural Discrete Representation Learning (a.k.a. VQ-VAE)
An extension of thu-spmi/CAT which contains a full-fledged implementation of CTC-CRF for Tensorflow.
tensorflow implementation of the Wasserstein (aka optimal transport) distance
Facebook AI Research Automatic Speech Recognition Toolkit
WaveGlow vocoder with VQVAE
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
A 10000+ hours dataset for Chinese speech recognition
Deep learning related projects using tf(eager), pytorch(fastai,allenlp) for contests like aichallenger, kaggle
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
A Large Scale Text Summarization Dataset
WordMultiSenseDisambiguation, chinese multi-wordsense disambiguation based on online bake knowledge base and semantic embedding similarity compute,基于百科知识库的中文词语多词义/义项获取与特定句子词语语义消歧.
This repo provides code and data used in our TANDA paper.
Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
An industrial deep learning framework for high-dimension sparse data
[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)
extremely distributed machine learning
PyTorch original implementation of Cross-lingual Language Model Pretraining.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Evaluating Cross-lingual Sentence Representations
Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
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.