5921 Open source projects that are alternatives of or similar to Nodebook

A very lightweight Python wrapper to the Philips Hue API

Applying Data Science and Machine Learning to Solve Real World Business Problems

Machine Learning Tutorials in Python

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Python技术 公众号文章代码实例

Deep learning infrastructure for bioinformatics

Movie plots by genre tutorial at PyData Berlin 2016

Material for the tutorial: "Deep Diving into GANs: from theory to production"

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

Some practices about deep learning

北京邮电大学“网络搜索原理”课程资料(2019)

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Progressive training of GANs with Mutual Information Penalty

Crawl & visualize ICLR papers and reviews.

a sklearn wrapper for Google's BERT model

Traffic Graph Convolutional Recurrent Neural Network

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

A practical feature engineering handbook

State-of-the-Art Language Modeling and Text Classification in Hindi Language

faiss wiki in chinese.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

A framework for blind denoising with self-supervision.

InferSent sentence embeddings

Contains files related to content and project of DSND

subpixel: A subpixel convnet for super resolution with Tensorflow

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Project which implements extraction of data from scatter plots

Kaggle airbus ship detection challenge 21st solution

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

CARTO Python package for data scientists

Previous version of eeg-notebooks

Generating multiple choice questions from text using Machine Learning.

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Data Cleaning Libraries with Python

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Some code examples gathered during my Month of Julia.

SegNet model implemented using keras framework

A benchmark dataset for data-driven weather forecasting

Simplified implementations of deep learning related works

Streaming over lightweight data transformations

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials for deep learning

Machine Learning in Finance: From Theory to Practice Book

Representation learning for link prediction within social networks

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

TensorFlow Tutorials

Visualising LIDAR data from KITTI dataset.

A seq2seq model that can correct spelling mistakes.