6069 Open source projects that are alternatives of or similar to Aeropython

The Open Architecture Playbook. Use it to create better and faster (IT)Architectures. OSS Tools, templates and more for solving IT problems using real open architecture tools that work!

😎 All the required resources to build your own startup

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Image Segmentation and Object Detection in Pytorch

Chaos Monkey for Spring Boot

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Food Classification with Deep Learning in Keras / Tensorflow

Neural Style and MSG-Net

Automatic extraction of relevant features from time series:

Inference Code for Polygon-RNN++ (CVPR 2018)

📘 The interactive computing suite for you! ✨

Contains files related to content and project of DSND Term 2

Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

Search inside YouTube videos using natural language

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

EPFL Machine Learning Course, Fall 2019

Shapash makes Machine Learning models transparent and understandable by everyone

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

An introduction to network analysis and applied graph theory using Python and NetworkX

Interactive Web Plotting with Bokeh in IPython notebook

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A toolkit for #1millionwomentotech community.

Notebooks based on financial machine learning.

Notebooks for MXNet

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

This repo contains materials for use in a TensorFlow workshop.

Stock Price Prediction using Machine Learning Techniques

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Code, data, and instructions for mapping orbits of asteroids in the solar system

bamboolib - a GUI for pandas DataFrames

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security.

Stuff going through my mind

Some Python Implementations of the Kalman Filter

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

深度学习笔记

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Object Detection

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

以撸代码的形式学习Python

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

From the basics to slightly more interesting applications of Tensorflow

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Data Hacking Project

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)