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

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Evaluation of the CNN design choices performance on ImageNet-2012.

Transmits AM radio on computers without radio transmitting hardware.

Feature exploration for supervised learning

Resources for "Introduction to Deep Learning" course.

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

An implementation of WaveNet with fast generation

Keras documentation, hosted live at keras.io

Learn how to responsibly deliver value with ML.

Preparation links and resources for system design questions

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

台湾大学李宏毅老师机器学习

MLOps examples

cuGraph - RAPIDS Graph Analytics Library

Structured data about Panama papers collected from official ICIJ website

A collection of miscellaneous thoughts that aren't on my blog.

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Repository containing notebooks of my posts on Medium

Getting started with soccer analytics

Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

The Udacity open source self-driving car project

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

An ongoing list of pandas quirks

Practical assignments of the Deep|Bayes summer school 2019

😎 All the required resources to build your own startup

Image Segmentation and Object Detection in Pytorch

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

Neural Style and MSG-Net

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

Contains files related to content and project of DSND Term 2

Search inside YouTube videos using natural language

📚 [.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

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

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

Shapash makes Machine Learning models transparent and understandable by everyone

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

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

Notebooks based on financial machine learning.

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

Stock Price Prediction using Machine Learning Techniques

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

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

Stuff going through my mind

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

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

Object Detection

以撸代码的形式学习Python

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.

From the basics to slightly more interesting applications of Tensorflow

Data Hacking Project

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

Support content for my blog

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.