1597 Open source projects that are alternatives of or similar to Docker Alpine Python Machinelearning

Alpine Container for Machine Learning

Open Machine Learning Course

🍊 📊 💡 Orange: Interactive data analysis

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Data 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.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Credit Risk analysis by using Python and ML

Parallel computing with task scheduling

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

🎚️ Open Source Audio Matching and Mastering

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

A complete docker package for deploying django which is easy to understand and deploy anywhere.

📚 Various cheatsheets in PDF

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

Algorithmic trading using machine learning.

Python Cheat Sheet NumPy, Matplotlib

A constantly updated python machine learning cheatsheet

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

A collection of notebooks of my Machine Learning class written in python 3

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

For extensive instructor led learning

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Data Science with Python

Explorando aspectos fundamentais da matemática com Python e Jupyter

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Docker Start Guide with Python Development Environment

Use AI to generate a optimized stock portfolio

ADAM - A Question Answering System. Inspired from IBM Watson

Docker image with Meinheld and Gunicorn for Flask applications in Python. Optionally with Alpine Linux.

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Wavelet scattering transforms in Python with GPU acceleration

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

《利用Python进行数据分析·第2版》

A workshop for scientific computing in Python. ( December 2017 )

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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NumPy & SciPy for GPU

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

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Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Carefully crafted Alpine Docker image with glibc (~12MB)

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Intel® Scalable Dataframe Compiler for Pandas*

Python audio and music signal processing library

AsyncIO serving for data science models

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Docker image with uWSGI and Nginx for applications in Python 3.5 and above and Python 2.7 (as Flask) in a single container. Optionally with Alpine Linux.

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Human-detection-and-Tracking

📖 [译] 利用 Python 进行数据分析 · 第 2 版

brief introduction to Python for machine learning