Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
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Mutual labels: sklearn, theano
MultitaskingNon-blocking Python methods using decorators
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Mutual labels: threading, multiprocessing
mantichoraA simple interface to Python multiprocessing and threading
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Mutual labels: multiprocessing, threading
PebbleMulti threading and processing eye-candy.
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Mutual labels: threading, multiprocessing
think-async🌿 Exploring cooperative concurrency primitives in Python
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Mutual labels: multiprocessing, threading
sklearn-predict机器学习数据,预测趋势并画图
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Mutual labels: numpy, sklearn
JoblibComputing with Python functions.
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Mutual labels: threading, multiprocessing
python3-docker-devenvDocker Start Guide with Python Development Environment
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Mutual labels: numpy, sklearn
SymJAXDocumentation:
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Mutual labels: theano, numpy
python-graceful-shutdownExample of a Python code that implements graceful shutdown while using asyncio, threading and multiprocessing
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Mutual labels: multiprocessing, threading
Notes Python中文 Python 笔记
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Mutual labels: numpy, theano
funboostpip install funboost,python全功能分布式函数调度框架,。支持python所有类型的并发模式和全球一切知名消息队列中间件,python函数加速器,框架包罗万象,一统编程思维,兼容50% python编程业务场景,适用范围广。只需要一行代码即可分布式执行python一切函数。旧名字是function_scheduling_distributed_framework
Stars: ✭ 351 (-96.35%)
Mutual labels: multiprocessing, threading
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (-99.54%)
Mutual labels: numpy, sklearn
atpbarProgress bars for threading and multiprocessing tasks on terminal and Jupyter Notebook
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Mutual labels: multiprocessing, threading
MachineLearning机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
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Mutual labels: numpy, sklearn
React Native Multithreading🧵 Fast and easy multithreading for React Native using JSI
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Mutual labels: threading, multiprocessing
Fooproxy稳健高效的评分制-针对性- IP代理池 + API服务,可以自己插入采集器进行代理IP的爬取,针对你的爬虫的一个或多个目标网站分别生成有效的IP代理数据库,支持MongoDB 4.0 使用 Python3.7(Scored IP proxy pool ,customise proxy data crawler can be added anytime)
Stars: ✭ 195 (-97.97%)
Mutual labels: threading, multiprocessing
Data-Analyst-NanodegreeKai Sheng Teh - Udacity Data Analyst Nanodegree
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Mutual labels: numpy, sklearn
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+129.28%)
Mutual labels: numpy, theano