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

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

我的强化学习笔记和学习材料📖 still updating ... ...

A PyTorch implementation of GraphRel

Repository containing files for my PyCon 2014 scikit-learn tutorial.

Open Source Landmarking Library

Movie plots by genre tutorial at PyData Berlin 2016

Various examples for Google Earth Engine in Python using Jupyter Notebook

Scientific Python Geometric Algorithms Library

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Kaggle airbus ship detection challenge 21st solution

Respository for Open-Science modular microscope system.

A tutorial on TensorFlow

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

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

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

A web frontend for scheduling Jupyter notebook reports

Devenez Data-Scientist sur Le Wagon On Demand

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Deploy AutoML as a service using Flask

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

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

Coherent Semantic Attention for image inpainting(ICCV 2019)

Bonus materials, exercises, and example projects for our Python tutorials

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Contains files related to content and project of DSND

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

Unsupervised clustering with (Gaussian mixture) VAEs

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

declarative and reproducible Jupyter environments - powered by Nix

Tutorial: Web scraping in Python with Beautiful Soup

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

How to do Unsupervised Clustering with Keras

Generating multiple choice questions from text using Machine Learning.

Tools, wrappers, etc... for data science with a concentration on text processing

Visualisation tool for CNNs in pytorch

Apache Spark (PySpark) Practice on Real Data

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Ropsten public testnet PoW chain

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

A benchmark dataset for data-driven weather forecasting

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

code for R-C3D

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Examples of using deep learning in Bioinformatics

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

An example attention network with simple dataset.

从零基础开始机器学习之旅