GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → vbartle → Vmls Companions

vbartle / Vmls Companions

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

Labels

jupyter-notebook

Projects that are alternatives of or similar to Vmls Companions

Geometric Intuition
Understanding ML and deep learning through geometry
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Machine Learning
Notes for machine learning
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Pandas tutorial
Pandas tutorial for SciPy2015 and SciPy2016 conference
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Data Analysis
主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Textrank text summarization
A tutorial for Automatic Text Summarization using TextRank algorithm.
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Mlnd distracted driver detection
基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态
Stars: ✭ 141 (-0.7%)
Mutual labels:  jupyter-notebook
Kdd winniethebest
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Machinelearningnote
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Natural Language Processing Tutorials
Natural Language Processing Tutorials(NLP) with Julia and Python
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Pycaffe tutorial
Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Jupytext.vim
Vim plugin for editing Jupyter ipynb files via jupytext
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Deep learning
added all materials
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Svhnclassifier Pytorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Stars: ✭ 141 (-0.7%)
Mutual labels:  jupyter-notebook
Lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Celeste.jl
Scalable inference for a generative model of astronomical images
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Vtubestudio
Placeholder for VTube Studio
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Cutout Random Erasing
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Disprcnn
Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
Invisible Cloak
Stars: ✭ 143 (+0.7%)
Mutual labels:  jupyter-notebook
Ml Forex Prediction
Predicting Forex Future Price with Machine Learning
Stars: ✭ 142 (+0%)
Mutual labels:  jupyter-notebook
View All Similar Projects ➔

VMLS-Python-and-Julia-Companion

*This is a companion to the Julia companion for: "Vectors, Matrices, and Least Squares" by Boyd and Vandenberghe. Which you can find here: http://vmls-book.stanford.edu/.

You can find notebooks with implementations in both Python and Julia that are direct references to the companion.

This is best perused in conjunction to the first degree companion: http://vmls-book.stanford.edu/vmls-julia-companion.pdf.

You can also find a Python companion put together by Leung and Matyspura here: https://ses.library.usyd.edu.au/handle/2123/21370

To run Julia in a jupyter kernel, Julia offers documentation here: https://pkg.julialang.org/docs/IJulia/nfu7T/1.9.3/. Also note that if you use brew as a primary package manager connected to your kernels, it will automatically setup the kernel for you when you run brew cask install julia.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].