1177 Open source projects that are alternatives of or similar to Machine Deep Learning

Conectando pessoas que desejam aprender com pessoas que tiram os obstáculos do caminho

Solidity Smart Contracts Samples

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Take further steps in the arms race of adversarial examples with only preprocessing.

Code and projects from my blog posts.

Find bugs quickly with `git bisect`

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

📈 A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

Service Classification based on Service Description

Deep neural network to extract intelligent information from invoice documents.

CodiMD - Realtime collaborative markdown notes on all platforms.

机器学习与深度学习算法示例

Learn Python for free using open-source notebooks in Hebrew.

LexRank algorithm for text summarization

A web application showcasing image recognition using deep learning with Cortex. See it in action at https://deeplearning.magnet.coop/

Powerful note-taking app with nested documents, full-text search, rich-text editor, code snippet editor and more

Note keeping done in PHP 5.2 and JSON

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

notes for 'Release It' by Michael T. Nygard

📜 Less equals more. A neat and elegant app for temporary note-taking.

Self-contained Machine Learning and Natural Language Processing library in Go

📄 🇨🇳 📃 论文阅读笔记（分布式系统、虚拟化、机器学习）Papers Notebook (Distributed System, Virtualization, Machine Learning), created by @gaocegege

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列

Learn V by Example

Share resources, assets and information for the math sessions 🚀

Exploring Procedural Generation algorithms in Godot

Launcher3 with no drawer

Deepfakes Software For All

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Active Convolution

An unofficial refreshed version of Scala Koans

Git Cheats - Interactive Cheatsheet For Git Commands

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Weekly Go Online Meetup via Bilibili｜Go 夜读｜通过 bilibili 在线直播的方式分享 Go 相关的技术话题，每天大家在微信/telegram/Slack 上及时沟通交流编程技术话题。

Notes for getting to know the Julia programming language in one day.

Spring源码阅读

Learn Python by Examples.

Machine Learning applied to sound

Learn by building

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Abstraction Layers

Makine Öğrenmesi Türkçe Kaynak

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

A Simply Example to show how to use Keras model in multiple processes to do the prediction

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

The Biggest Scala Cheat-Sheet.

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Easing the onramp for new or non-PHP developers to become Laravel devs.

Notes for several Machine Learning and Deep Learning courses, textbooks, and talks

notes

我大学两年来的笔记，希望对大家有些些帮助

A Chrome extension that helps you learn Japanese with every new tab 🔴

Multi-class confusion matrix library in Python

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Read and Write

Tell you how to learn front end development ~