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A curated list of resources for Learning with Noisy Labels
Caffe: a fast open framework for deep learning.
CNNs for sentence classification
Deep Learning (Python, C/C++, Java, Scala, Go)
Efficient binary-decimal and decimal-binary conversion routines for IEEE doubles.
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
IRGAN SIGIR paper experimental code
Convert tf.keras/Keras models to ONNX
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch C++ inference with LibTorch
Code for Chinese Poetry Generation with Recurrent Neural Networks (EMNLP 2014)
scikit-learn: machine learning in Python
The Shogun Machine Learning Toolbox (Source Code)
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.