Stars
3d lidar point cloud segmentation using gaussian process
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…
This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.
MLNLP: Notes for MIT-Linear-Algebra
pip install funboost,python全功能分布式函数调度框架,funboost的功能是全面性重量级,用户能想得到的功能99%全都有;funboost的使用方式是轻量级,只有@boost一行代码需要写。支持python所有类型的并发模式和一切知名消息队列中间件,支持如 celery dramatiq等框架整体作为funboost中间件,python函数加速器,框架包罗万象,用…
collaborative filtering methods for recommender systems
Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
本项目代码使用 PaddlePaddle 框架进行实现,应用场景:图像补全(Image completion),目标移除(Object remove)
Machine learning for transportation data imputation and prediction.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
深入浅出最优化系列博客代码 Code of Optimization in a Nutshell
takagi / cupy
Forked from cupy/cupyNumPy-like API accelerated with CUDA
Python wrapper for the sparse QR decomposition in SuiteSparseQR.
This documentation is archived. Updates are only available in https://gitlab.com/gorlapraveen/TheLearningDocumentationProject
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
LibRec: A Leading Java Library for Recommender Systems, see