1151 Open source projects that are alternatives of or similar to saddle

Library packs for google cloud functions

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

Awesome Spectral Indices in Python.

Data Science with Python

No description or website provided.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

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

Content from the University of British Columbia's Master of Data Science course DSCI 511.

Explorando aspectos fundamentais da matemática com Python e Jupyter

🎶 12-tone matrix to generate dodecaphonic melodies 🎶

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Use AI to generate a optimized stock portfolio

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

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

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.

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

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

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

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

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

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

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Open Machine Learning Course

📖 [译] 利用 Python 进行数据分析 · 第 2 版

For extensive instructor led learning

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Distance Recognition of a Human Being with Deep CNN's

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

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

This repository consists of all my Machine Learning Projects.

Achieve your marketing goals with the data analytics power of Python

实现一个线性代数库，为Python写扩展。《程序猿的数学3 线性代数》读后笔记

Credit Risk analysis by using Python and ML

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

공공데이터 분석

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

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。

Repository to store sample python programs for python learning

📚 Various cheatsheets in PDF

N-D labeled arrays and datasets in Python

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

📖 每一个伟大的思想和行动都有一个微不足道的开始

🍊 📊 💡 Orange: Interactive data analysis

Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the course from the Imperial London College in Coursera.

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

An intelligent block matrix library for numpy, PyTorch, and beyond.

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

No description or website provided.

Read and write Neuroglancer datasets programmatically.

Owl's OCaml Interface to Eigen3 C++ Library

Bootcamp to learn Python for Machine Learning

⚡ Eigen-js is a port of the Eigen C++ linear algebra library