5996 Open source projects that are alternatives of or similar to Kaggle Titanic

📘 The interactive computing suite for you! ✨

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

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。

cuGraph - RAPIDS Graph Analytics Library

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Stock Price Prediction using Machine Learning Techniques

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

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

EPFL Machine Learning Course, Fall 2019

MLOps examples

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

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

Code samples for AI fundamentals

Interactive Web Plotting with Bokeh in IPython notebook

Learn how to responsibly deliver value with ML.

Repository containing notebooks of my posts on Medium

Brushing and linking for big data

A toolkit for #1millionwomentotech community.

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

Temporary home for fastai v2 while it's being developed

Notebooks for MXNet

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

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.

Keras documentation, hosted live at keras.io

Code for "High-Precision Model-Agnostic Explanations" paper

This repo contains materials for use in a TensorFlow workshop.

Stuff going through my mind

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

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

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

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

Exercise notebooks for CVND.

bamboolib - a GUI for pandas DataFrames

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

A series of machine learning tutorials for Torch7

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

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

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

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

Support content for my blog

以撸代码的形式学习Python

ebook Machine Learning cơ bản

Some Python Implementations of the Kalman Filter

The Udacity open source self-driving car project

机器学习算法的公式推导以及numpy实现

深度学习笔记

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

From the basics to slightly more interesting applications of Tensorflow

Models and examples built with Swift for TensorFlow

《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！

An ongoing list of pandas quirks

An autonomous AI racecar using NVIDIA Jetson Nano

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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

Practical assignments of the Deep|Bayes summer school 2019

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