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

Financial data reader

Simple but useful Python web scraping tutorial code.

Jupyter notebooks for learning how to use SimpleITK

Contains files related to content and project of DSND Term 2

A couple of simple GANs in Keras

Training Very Deep Neural Networks Without Skip-Connections

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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。

Pangeo website + discussion of general issues related to the project.

Bayesian Deep Learning Benchmarks

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

A self driving toy car using end-to-end learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Medical Q&A with Deep Language Models

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

【运筹OR帷幄|数据科学】pandas教程系列电子书

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

Search inside YouTube videos using natural language

Code for some of my tutorials

Source code accompanying O'Reilly book: Machine Learning Design Patterns

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

📔 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

跟大咖一起读源码

Apache Airflow tutorial

📚 [.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

Feature Pyramid Networks for Object Detection

Some work of Andrew Ng's course on Coursera

Some ipython notebooks implementing AI algorithms

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Deep Learning Specialization by Andrew Ng on Coursera.

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

Code repository for O'Reilly book

猫狗大战

Reference deployment of JupyterHub with docker

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

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

CatBoost tutorials repository

What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.

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

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

An introduction to data science using Python and Pandas with Jupyter notebooks

🕵️‍♀️ 监视我的手机：数据都去哪儿了？

EPFL Machine Learning Course, Fall 2019

TensorFlow documentation

Two time-scale update rule for training GANs

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Shapash makes Machine Learning models transparent and understandable by everyone

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Detectorch - detectron for PyTorch

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)

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

A framework for data augmentation for 2D and 3D image classification and segmentation