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[CVPR2020] Adversarial Latent Autoencoders
海量中文预训练ALBERT模型 Chinese version of ALBERT pre-trained model
A knowledge-grounded human-human dataset of open-domain conversations.
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
α-Indirect Control in Onion-like Networks
Evidence-based QA system for community question answering.
:mag: Ambar: Document Search Engine
AmbiverseNLU: A Natural Language Understanding suite by Max Planck Institute for Informatics
Aiming at the removal of gaussian noise, we systematically analyze the shortage of non-local means image denonising algorithm (NLM), finding it is easy to lose structure information when dealing with the image containing complex edges and textures by NLM algorithm. In order to solve this problem, a non-local means image denoising based on edge detection is proposed in this thesis. The innovation of the proposed algorithm is mainly manifested in the following : (1) An improved Sobel operator with eight directions is proposed to extract a more accurate edge image; (2) To make the neighborhoods with similar structure obtain more weight, not only the Euclidean distance but also the edge image are considered when the similarity of neighborhoods is measured. Many experiments demonstrate that in both subjective and objective evaluation principles the performance of the improved algorithm has a good effect, and the visual effect of the denoised image is good.
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Anomaly detection related books, papers, videos, and toolboxes
Training Deep Neural Networks via Direct Loss Minimization
apricot implements submodular selection for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
Official code of paper: Chaos is a Ladder: A New Understanding of Contrastive Learning
Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models.
Google Summer of Code 2018 Project: Automatic Speech Recognition for Speech-to-Text on Chinese
A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
ATEC 金融大脑-金融智能NLP服务
A release version for https://github.com/athena-team/athena
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.