6986 Open source projects that are alternatives of or similar to Fastbook

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Create publication-quality books from Jupyter notebooks

YouTube Like Count Predictions using Machine Learning

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

IPython widgets, interactive plots, interactive machine learning

Data augmentation for NLP

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

The "Python Machine Learning (1st edition)" book code repository and info resource

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Tutorial Sessions for SciPy Con 2019

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

This is Andrew NG Coursera Handwritten Notes.

Machine learning fundamentals lesson in interactive notebooks

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

CARTO Python package for data scientists

An ongoing list of pandas quirks

🤖⚡️ scikit-learn tips

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Griffon Data Science Virtual Machine

A blog for data analytics using data science technologies

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

A repo for data science related questions and answers

Examples of NumbaPro in use.

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

nbconvert as a web service: Render Jupyter Notebooks as static web pages

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

C++ library for audio and music analysis, description and synthesis, including Python bindings

The Art of Literary Text Analysis

Adaptive crawler which uses Reinforcement Learning methods

Links to Russian corpora + Python functions for loading and parsing

Implementations of some popular Saliency Maps in Keras

📈 如何用深度强化学习自动炒股

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Supporting notebooks and data from hypertools paper

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

Open solution to the Toxic Comment Classification Challenge

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

kaggle titanic solution

ASAP: Prioritizing Attention via Time Series Smoothing

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

How to build RNNs and LSTMs from scratch with NumPy.

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Introduction to Statistical Modeling with Python (PyCon 2017)

A lightweight convolutional neural network

Research Software Engineering with Python course material

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

An online book for learning PHP

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Code for Nature energy manuscript

Repositorio del Curso de Machine Learning de la A a la Z con R y Python