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ufldl_tutorial - Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
deep-learning deep-learning-tutorial convolutional-neural-networksMachine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources
This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources. Other awesome lists can be found in this list. If you want to contribute to this list, please read Contributing Guidelines.
deep-learning-tutorial machine-learning machinelearning deeplearning neural-network neural-networks deep-neural-networks awesome-list awesome list deep-learningawesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Deep Learning tutorials, projects and communities.
deep-learning neural-network machine-learning awesome awesome-list recurrent-networks deep-networks deep-learning-tutorial face-imagesTensorflow-Project-Template - A best practice for tensorflow project template architecture.
A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributing in tensorflow projects here's a tensorflow project template that combines simplcity, best practice for folder structure and good OOP design. The main idea is that there's much stuff you do every time you start your tensorflow project, so wrapping all this shared stuff will help you to change just the core idea every time you start a new tensorflow project. You will find a template file and a simple example in the model and trainer folder that shows you how to try your first model simply.
tesnorflow software-engineering oop deep-learning neural-network convolutional-neural-networks tensorflow-tutorials deep-learning-tutorial best-practices tensorflow templateAndroidTensorFlowMachineLearningExample - Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
tensorflow tensorflow-tutorials tensorflow-android machine-learning machine-learning-android tensorflow-models tensorflow-examples deep-learning deep-neural-networks deeplearning deep-learning-tutorialtensorflow-tutorial - TensorFlow and Deep Learning Tutorials
Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples (with input_data.py). MNIST is a database of handwritten digits, for a quick description of that dataset, you can check this notebook.
recurrent-neural-networks convolutional-neural-networks deep-learning-tutorial tensorflow tensorlayer keras deep-reinforcement-learning tensorflow-tutorials deep-learning machine-learning notebook autoencoder multi-layer-perceptron reinforcement-learning tflearn neural-networks neural-network neural-machine-translation nlp cnncomputer-vision-in-action - 《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中
《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
machine-learning tutorial books computer-vision deep-learning neural-network notebook jupyter-notebook handbook pytorch transformer ipynb deep-learning-tutorial computer-vision-algorithms colab-notebook in-action charmvestock-analysis-engine - Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz
Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: IEX Cloud, Tradier and FinViz (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more). This will pull Redis and Minio docker images.
docker kubernetes redis deep-neural-networks options deep-learning jupyter tensorflow helm s3 keras minio iex helm-charts stocks algorithmic-trading deep-learning-tutorial tradier backtesting iexcloud iextradingKur - Descriptive Deep Learning
Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans. It uses specification files that are simple to read and author, meaning that you can get started building sophisticated models without ever needing to code. Even so, Kur exposes a friendly and extensible API to support advanced deep learning architectures or workflows.
deep-learning deep-neural-networks speech-recognition deep-learning-tutorial machine-learning neural-networks neural-network image-recognition speech-to-textdl_tutorials_10weeks - Deep Learning Tutorials for 10 Weeks
Deep Learning Tutorials for 10 Weeks
deep-learning-tutorialAndroidTensorFlowMNISTExample - Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
All pull requests are welcome, make sure to follow the contribution guidelines when you submit pull request.
tensorflow tensorflow-tutorials mnist-classification mnist machine-learning android tensorflow-models machine-learning-android tensorflow-android tensorflow-model mnist-model deep-learning deep-neural-networks deeplearning deep-learning-tutorialDeepLearning.scala-website - The website of DeepLearning.scala
The website of DeepLearning.scala
deeplearning neural-network deep-neural-networks deep-learning-tutorialdeeplearning-tutorial - Tutorial of DeepLearning.scala
DeepLearning.scala is a DSL for creating complex neural networks. With the help of DeepLearning.scala, regular programmers are able to build complex neural networks from simple code. You write code almost as usual, the only difference being that code based on DeepLearning.scala is differentiable, which enables such code to evolve by modifying its parameters continuously.
complex-neural-networks deep-learning deep-neural-networks neural-networks deeplearning deep-learning-tutorial deeplearning-demo deeplearning-notebookscolor-accessibility-neural-network-deeplearnjs - 🍃 Using a Neural Network to improve web accessibility in JavaScript
Use Case: Learning best color matches of font and background color for an improved web accessibility. This example project demonstrates how neural networks may be used to solve a binary classification problem. It uses deeplearn.js to predict accessible font colors based on background colors. Read more about it. If you have problems to follow the view layer implementation with React, checkout this book to learn the fundamentals of it.
machine-learning deep-learning neural-network deeplearnjs neural-networks neural-network-example deep-neural-networks deep-learning-tutorial machine-learning-algorithmsNeo - Deep learning library in python from scratch
The documentation generated using Doxygen can be found in documentaion folder. Please open documentation/html/index.html to view the documentation. If you are someone looking to understand deep learning models by implementing or if you are an expert and want to improve the code or fix bugs, you are very welcome. Feel free to suggest improvements and fork the repository.
deep-learning machine-learning machine-learning-coursera machine-learning-tutorials deep-learning-tutorial neural-network neural-networks-from-scratch artificial-intelligence neural-network-builder numpy numpy-tutorial numpy-neuralnet-exerciseBitcoin-price-Prediction-using-LSTM - Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
lstm-neural-networks time-series-analysis bitcoin-price-prediction recurrent-neural-networks deep-neural-networks deep-learning-tutorial deep-learning series lstm rnn keras tensorflowSong-lyrics-generator - Generate song lyrics using LSTM Recurrent neural network
Generate song lyrics using LSTM Recurrent neural network
lstm-neural-networks recurrent-neural-networks song-lyrics-generator keras tensorflow deep-learning machine-learning deep-learning-tutorialdeep-learning-tutorial-with-chainer - Deep learning tutorial with Chainer
The source code of the blog posts, Deep learning tutorial with Chainer. It is compatible with chainer v2.
chainer deep-learning deep-learning-tutorial jupyter-notebookdeep-blueberry - If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementationdeep_grasp_demo - Deep learning for grasp detection within MoveIt.
This repository contains several demos using deep learning methods for grasp pose generation within the MoveIt Task Constructor. The packages were developed and tested on Ubuntu 18.04 running ROS Melodic.
machine-learning deep-neural-networks computer-vision deep-learning gpd point-cloud motion-planning ros moveit robot-control grasping point-clouds deep-learning-tutorial depth-camera grasp robot-manipulation grasp-planning grasp-point-detection dex-net depth-sensor-data
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