7101 Open source projects that are alternatives of or similar to Openedu

周志华-机器学习

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

pyiron - an integrated development environment (IDE) for computational materials science.

Open source person re-identification in Pytorch

Workshop for Org-mode with focus on todo-, project- and workflow-management

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Pandas tutorial for SciPy2015 and SciPy2016 conference

A list of pretrained Transformer models for the Russian language.

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

cell detection in calcium imaging recordings

A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Home assignments for data science positions

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

next generation slides for Jupyter Notebooks

📑Useful resources for developers

A collection of Pyomo examples

Natural Language Processing Tutorials(NLP) with Julia and Python

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

added all materials

A repository of readmes, techniques, notes and other materials about how i live code in SuperCollider. A (sorta) companion repository to co34pt_livecode

Vim plugin for editing Jupyter ipynb files via jupytext

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

Placeholder for VTube Studio

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

python，机器学习笔记，machine learning，nlp

A collection of Jupyter notebooks for learning Python from the ground up.

Classic Space Invaders game written in JavaScript as a learning exercise.

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

Android Developer Roadmap - A complete roadmap to learn Android App Development

Code for the Make Your Own Neural Network book

python100天学习资料

A Python package for heart rate variability analysis

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

An application that provides personalized career and job search advice to jobseekers.

Fluid dynamics component of Chemical Engineering Design Library (ChEDL)

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.

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

This project is seen in demos including the Pluralsight course "Vue: Getting Started" to help represent a fundamental app written with Vue. The heroes and villains theme is used throughout the app.

These are the lectures, slides, reading assignments, and problem sets for the Developing Apps for iOS 11 with Swift 4 CS193p course offered at the Stanford School of Engineering and available on iTunes U.

Tutorial and Examples Jupyter Notebooks for Altair

StarNet

Analyses about the COVID-19 virus

BetterNetWork4SSD

Performance analysis of predictive (alpha) stock factors

Python for chemoinformatics

量子コンピュータ初学者のための自習教材

Jupyter notebook server extension to proxy web services.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Welcome to Glacier Data Project. A post-wuhan2020 project for data science

Jupyter Notebooks used on my DataScience projects

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要

开源的各大比赛baseline