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koala (endymecy)

endymecy

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Company:@tencent

Location:shanghai china

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koala's repositories

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

License:MITStargazers:2822Issues:220Issues:4

spark-ml-source-analysis

spark ml 算法原理剖析以及具体的源码实现分析

License:Apache-2.0Stargazers:1938Issues:196Issues:4

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

License:GPL-3.0Stargazers:4Issues:2Issues:0

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:3Issues:0

Recommenders

Recommender Systems

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angel

A Flexible and Powerful Parameter Server for large-scale machine learning

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AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:2Issues:0

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

analytics-zoo

Distributed Tensorflow, Keras, PyTorch and BigDL on Apache Spark

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:2Issues:0

autoclint

A specially designed light version of Fast AutoAugment

Language:PythonLicense:Apache-2.0Stargazers:0Issues:3Issues:0

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

Stargazers:0Issues:3Issues:0

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Language:PythonLicense:MITStargazers:0Issues:3Issues:0

clipper

A low-latency prediction-serving system

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coval

A coreference evaluation package for the CoNLL and ARRAU datasets

Language:PythonLicense:MITStargazers:0Issues:3Issues:0

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Language:PythonLicense:MITStargazers:0Issues:3Issues:0

facenet

Face recognition using Tensorflow

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Language:PythonStargazers:0Issues:3Issues:0

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

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kaldi

This is now the official location of the Kaldi project.

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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Language:PythonLicense:MITStargazers:0Issues:3Issues:0

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

onnxmltools

ONNXMLTools enables conversion of models to ONNX. Supports CoreML, LightGBM, LibSVM, and XGBoost

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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qcloud-documents

腾讯云官方文档 使用Markdown自动构建

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RedisAI

A Redis module for serving tensors and executing deep learning graphs

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sona

Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:2Issues:0