stella (aslfu)

aslfu

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Location:China

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stella's starred repositories

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

Stargazers:2290Issues:0Issues:0

HRec

Heterogeneous Recommendation

Language:PythonLicense:MITStargazers:55Issues:0Issues:0

Awesome-Privacy

Repository for collection of research papers on privacy.

License:GPL-3.0Stargazers:336Issues:0Issues:0

awesome-differential-privacy

list of differential-privacy related resources

License:CC0-1.0Stargazers:277Issues:0Issues:0

RSPapers

A Curated List of Must-read Papers on Recommender System.

License:MITStargazers:6060Issues:0Issues:0

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

Language:PythonStargazers:1376Issues:0Issues:0

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

Stargazers:346Issues:0Issues:0

awesome-model-compression

papers about model compression

Stargazers:165Issues:0Issues:0

HPO2NAS-Tutorial-CVPR-ECCV2020

Hands-on Tutorial on Automated Deep Learning

Language:Jupyter NotebookStargazers:148Issues:0Issues:0

awesome-federated-learning

resources about federated learning and privacy in machine learning

Stargazers:522Issues:0Issues:0

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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AdaptiveXGBoostClassifier

Implementation of the Adaptive XGBoost classifier for evolving data streams

Language:PythonStargazers:39Issues:0Issues:0

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

Language:PythonLicense:Apache-2.0Stargazers:184Issues:0Issues:0

xgboost-python-deploy

Deploy XGBoost trained models in pure python

Language:PythonLicense:MITStargazers:13Issues:0Issues:0

interview_python

关于Python的面试题

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CircleLoss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

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LambdaMart

Python implementation of LambdaMart

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tf_metrics

Multi-class metrics for Tensorflow

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tf-world-tutorial

TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:47Issues:0Issues:0

DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Language:PythonLicense:LGPL-3.0Stargazers:4497Issues:0Issues:0

tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

Language:PythonLicense:MITStargazers:2037Issues:0Issues:0

squeezenext-tensorflow

A tensorflow implementation of squeezenext. (includes link to trained model)

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deeplearning

深度学习相关的模型训练、评估和预测相关代码

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tf_repos

TensorFlow Script

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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tensorflow-in-depth

《深入理解TensorFlow》项目代码与样章

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FATE

An Industrial Grade Federated Learning Framework

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plato

腾讯高性能分布式图计算框架Plato

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