Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
created at Dec. 5, 2018, 4:04 p.m.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
created at Nov. 5, 2018, 12:58 p.m.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
created at Oct. 29, 2018, 1:56 p.m.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
created at Sept. 22, 2018, 12:45 a.m.
Best Practices on Recommendation Systems
created at Sept. 19, 2018, 10:06 a.m.
Open solution to the Airbus Ship Detection Challenge
created at Aug. 8, 2018, 7:15 p.m.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
created at Aug. 7, 2018, 6:45 a.m.
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
created at Aug. 5, 2018, 6:41 a.m.
Machine Learning Prediction Server on AWS Lambda(Zappa)
created at July 26, 2018, 5:27 p.m.
PyTorch implementation of neural style transfer algorithm
created at July 25, 2018, 7:35 p.m.
Open solution to the TGS Salt Identification Challenge
created at July 24, 2018, 9:29 a.m.
A Comparative Framework for Multimodal Recommender Systems
created at July 17, 2018, 6:31 a.m.