7782 Open source projects that are alternatives of or similar to Data Science Your Way

공공데이터 분석

Home assignments for data science positions

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A New, Interactive Approach to Learning Python

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Neural Turing Machines (NTM) - PyTorch Implementation

open source for wechat-official-account (ID: PyDataLab)

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Performance analysis of predictive (alpha) stock factors

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Jupyter notebook server extension to proxy web services.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Python library for identifying the peaks and valleys of a time series.

Jupyter notebook integration with Spyder

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

My Answer to 120 Data Science Interview Questions

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

HandySpark - bringing pandas-like capabilities to Spark dataframes

Template for nbdev projects

Important paper implementations for Question Answering using PyTorch

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.

数据科学竞赛知识、代码、思路

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Combining Psi4 and Numpy for education and development.

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

Tutorials for the Astropy Project

Web scrapping and related analytics using Python tools

This is Andrew NG Coursera Handwritten Notes.

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

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

top 1% solution to toxic comment classification challenge on Kaggle.

DCGAN image generator 🖼️.

Edit your Jupyter notebooks in Vim/Neovim

🍇 Edit and execute code snippets in the browser using Jupyter kernels

Tutorial on geospatial data manipulation with Python

Introducing neural networks to predict stock prices

A curated list of awesome Jupyter projects, libraries and resources

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Save Jupyter Notebooks as PDF

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Data science portfolio

A fast and lightweight AutoML library.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Source code and data analyses for the Sci-Hub Coverage Study

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Probabilistic reasoning and statistical analysis in TensorFlow

Teaching and Learning with Jupyter

Interactive reports to analyze machine learning models during validation or production monitoring.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

PyTorch Tutorial (1.7)

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

《程序员面试金典》(cc150)

Deep Learning Zero to All - Pytorch

food image to recipe with deep convolutional neural networks.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Jupyter's kernel for Elixir programming language