2412 Open source projects that are alternatives of or similar to Mit Deep Learning Book Pdf

💻 command-line bootcamp adventure in your browser

A docker container containing an installation of texlive as well as several useful scripts.

Books, papers and links to latest research in ML/AI

明朝那些事儿（全七卷）

📕一款在任阅基础上改进的网络小说阅读器，采用Kt编写，支持听书，仿真翻页，插页图片等。欢迎 star or fork！

N-dimensional matrix class for Rust

Import and export general library, support Dto import and export, template export, fancy export and dynamic export, support Excel, Csv, Word, Pdf and Html.

Highway networks implemented in PyTorch.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🍎👩‍🏫 Collection of Demos for THREE.js in Expo!

A minimal example of using bookdown to write a book for Chapman & Hall/CRC

Quantum Computation Simulator written in golang

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

Export Azure DevOps Wiki to PDF

An ebook reader application supporting PDF, DjVu, EPUB, FB2 and many more formats, running on Cervantes, Kindle, Kobo, PocketBook and Android devices

Graphics2D implementations to export various vector file formats

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

web

Extract highlights, scribbles, and annotations from PDFs marked with the reMarkable tablet. Export to Markdown, PDF, PNG, and SVG

Annotation layer for pdf.js

基于Andrew Ng DeepLearning.ai课程的学习笔记

The Internals of Apache Spark

A machine learning software for extracting information from scholarly documents

Crystal Graph Neural Networks

Deep Neural Network Sandbox for JavaScript.

Print HTML elements or pages in modern browsers.

A list of useful articles and videos generated from my Instapaper archived list on Software Design, Testing, Public Speaking, etc.

This is my maths learning path. Best courses I've found to learn calculus, algebra, ...

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Numerical computing in Swift – for Linux and macOS

file metadata parsing, done cheap

基于深度学习的自动避障智能小车

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

A tiny system call tracer and debugger implementation

A simple log customization tool based on golang 一个基于golang简单的日志定制化工具

Qt 5 and OpenCV 4 Computer Vision Projects, published by Packt

The Mobile Application Security Verification Standard (MASVS) is a standard for mobile app security.

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Document scanning SDK example apps for the Scanbot SDK for Android.

《Python3 标准库》电子书和配套代码 "The Python Standard Library by Example" ebook and source code 一本又厚又全的讲解Python3标准库的书籍（1000多页）适合当作字典参考或者闲暇时慢慢阅读。

📚 Directory of iOS books

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

books pdf

Take any HTML loaded in WKWebView and make PDF out of it.

A lightweight Experience API Learning Record Store (LRS)

List of Elixir books

本项目预计分享数千册电子书，98%以上为机械工业出版社原版电子书，其余为其它出版社出版的一些经典外文读物的原版译本电子书，每本书都配有当当网一键搜索，可查看书价格和简介。目前共计更新2542册图书

Build conversation Seq2Seq models with TensorFlow

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Code for the Lovász-Softmax loss (CVPR 2018)

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

A mindmap summarising Deep Learning concepts.

SVG file parsing / rendering library

Soluções para os desafios (por usuário)

The code repository for the prototypes included in the eBook "Inspired EHRs - Designing for Clinicians" (inspiredEHRs.gov). The code of the prototypes is made available under the Apache 2.0 open source license. This license agreement allows anyone to freely use the code and ideas presented in this book, subject to the conditions listed at http://opensource.org/licenses/Apache-2.0.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

The Road to Learn React - Tradução para o Português