6885 Open source projects that are alternatives of or similar to Book

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Full Stack Data Science in Python

Artificial Learning, Intelligent Machines

Jupyter notebook and datasets from the pandas Q&A video series

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

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A Code-First Introduction to NLP course

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

A comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Teaching materials in python at the @ENSAE

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

General Assembly's 2015 Data Science course in Washington, DC

A Python library for easy data analysis, visualization, exploration and modeling

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

Solutions for Automate the Boring Stuff with Python

Numba tutorial materials for Scipy 2016

Readings in applied data science

A curated list of community detection research papers with implementations.

Arduino library for MAX30100, integrated oximeter and heart rate sensor

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

Pytest in IPython notebooks.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).

A PyTorch implementation of OpenAI's REPTILE algorithm

Source codes for the book "Application of Neural Network and PyTorch"

Predictive Filter Flow for fully/self-supervised learning on various vision tasks

Causal Graphical Models in Python

A validation library for Pandas data frames using user-friendly schemas

个人深度学习项目整理

Enterprise Jupyter notebook sharing and collaboration app

A series of Jupyter notebook to learn Google Earth Engine with Python

Convert Jupyter notebook to Excel spreadsheet

A Lean Persistent Homology Library for Python

COCO-Text API http://vision.cornell.edu/se3/coco-text/

Practical Notebooks for the Deep Learning Indaba 2018

Deep Learning introduction and its application in various fields

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

Repo of Files for Python Narrative Journey Course

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.

Keras implementation of Sketch RNN

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Content for my Astronomy 599 Course: Intro to scientific computing in Python

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

user defined colormaps in matplotlib.

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Learning the Enigma with Recurrent Neural Networks