GÜNCEL: https://docs.google.com/document/d/1mOC-L8aW6JB9itMVPX7W_QMVFshZ97_2Ffq6bPb-SBE/edit#
- A full-featured, open source, state-of-the-art video surveillance software system: https://www.zoneminder.com/
Görsel | Ayrıntı |
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Deep Learning | ... |
Using neural networks to build an automatic number plate recognition system https://github.com/matthewearl/deep-anpr http://matthewearl.github.io/2016/05/06/cnn-anpr/ | |
Real Solutions, Artificial Intelligence https://www.clarifai.com/ | |
dl-setup | Instructions for setting up the software on your deep learning machine https://github.com/saiprashanths/dl-setup |
Deep learning driven jazz generation using Keras & Theano! http://deepjazz.io https://github.com/jisungk/deepjazz | |
Google Visioner CLI | Automatically rename your pictures using Google Vision API and metadata: https://github.com/berpj/visioner-cli, CLOUD VISION API BETA Derive insight from images with our powerful Cloud Vision API, Realtime People Counter with Google's Cloud Vision API and RxJava |
Matlab | Deprecate: Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started: https://github.com/rasmusbergpalm/DeepLearnToolbox |
Visual Search at Pinterest: http://www.kevinjing.com/visual_search_at_pinterest.pdf | |
Database | An awesome list of high-quality open datasets in public domains (on-going): https://github.com/caesar0301/awesome-public-datasets |
Tecrübe | Organizing My Emails With A Neural Net: https://github.com/andreykurenkov/emailinsight, http://www.andreykurenkov.com/writing/organizing-my-emails-with-a-neural-net/ |
Tecrübe: text classify | Text classification service based on Redis. Built on top of Tornado and React.js: https://github.com/fatiherikli/klassify, |
Torch | Torch is the main package in Torch7 where data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many utilities for accessing files, serializing objects of arbitrary types and other useful utilities: https://github.com/torch/torch7/ |
Keras Tool | Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow. https://github.com/fchollet/keras, http://keras.io/ |
tflearn | Deep learning library featuring a higher-level API for TensorFlow. https://github.com/tflearn/tflearn, http://tflearn.org, http://tflearn.org/examples/ |
Playground TF | [Play with neural networks! https://github.com/tensorflow/playground http://playground.tensorflow.org |
Lasagne | Lightweight library to build and train neural networks in Theano: https://github.com/Lasagne/Lasagne, http://lasagne.readthedocs.org/, Recipes, Examples, Demos |
Theano Tool | Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation: http://github.com/Theano/Theano, http://www.deeplearning.net/software/theano |
Tartışma | What is the difference between the classical artificial neural network and the new deep learning generation? |
Magazin | 10 Breakthrough Technologies- 2013 |
Derleme | https://github.com/19/engiz/issues/4 |
Magazin | Google Puts Its Virtual Brain Technology to Work, A powerful new approach to artificial intelligence is ready to improve many Google products. |
YOK | A flexible framework of neural networks for deep learning http://chainer.org, https://github.com/pfnet/chainer |
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Sequence to Sequence Learning Model, Demo: MUSICO Chat Bot, A Simple Question-Answering System |
YOK | Face recognition with deep neural networks: http://cmusatyalab.github.io/openface/, https://github.com/cmusatyalab/openface |
Caffe: a fast open framework for deep learning: https://github.com/BVLC/caffe, http://caffe.berkeleyvision.org, [Demo](http://demo.caffe.berkeleyvision.org/classify_url?imageurl=http%3A%2F%2Fi.telegraph.co.uk%2Fmultimedia%2Farchive%2F02351%2Fcross-eyed-cat_2351472k.jpg> | |
Recurrent Neural Network captions your images: https://github.com/karpathy/neuraltalk2 | |
YOK | Github, https://github.com/google/skflow, http://www.tensorflow.org/, manuscript, blog girdisi |
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Neural style in TensorFlow https://github.com/anishathalye/neural-style, http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/ |
Notebook example of how to generate class visualizations with Caffe https://github.com/auduno/deepdraw | |
YOK | Adversarial networks in TensorFlow |
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Turn your two-bit doodles into fine artworks with deep neural networks! An implementation of Semantic Style Transfer: https://github.com/alexjc/neural-doodle |
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A deep Q learning demonstration using Google Tensorflow |
YOK | http://deeplearning.net/ |
YOK | https://github.com/Samsung/veles |
YOK | https://github.com/hangtwenty/dive-into-machine-learning |
YOK | https://github.com/Microsoft/DMTK |
YOK | https://github.com/dmlc/mxnet |
YOK | Open Machine Intelligence Framework: https://github.com/autumnai/leaf, Examples |
YOK | ConvNetJS: Deep Learning in your browser: http://cs.stanford.edu/people/karpathy/convnetjs/ |
Deep Visual-Semantic Alignments for Generating Image Descriptions: http://cs.stanford.edu/people/karpathy/deepimagesent/ | |
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games": https://github.com/junhyukoh/nips2015-action-conditional-video-prediction, https://sites.google.com/a/umich.edu/junhyuk-oh/action-conditional-video-prediction | |
Open, Networked Machine Learning: http://www.openml.org/, Python API | |
General learning | ... |
YOK | [Resources for Machine Learning in Ruby)(https://gist.github.com/gbuesing/865b814d312f46775cda) |
YOK | Sentiment Analysis in Python with TextBlob https://github.com/shekhargulati/52-technologies-in-2016/blob/master/11-textblob/README.md |
YOK | Official github repository for Fast Artificial Neural Network Library (FANN): https://github.com/libfann/fann |
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks: https://github.com/ShaoqingRen/faster_rcnn, Sunum, Makale | |
Facebook AI Research: DeepFace: Closing the Gap to Human-Level Performance in Face Verification, Makale, Facebook Launches Advanced AI Effort to Find Meaning in Your Posts | |
Yok | Anthelion is a plugin for Apache Nutch to crawl semantic annotations within HTML pages: https://labs.yahoo.com/publications/6702/focused-crawling-structured-data, https://github.com/yahoo/anthelion |
Yok | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch: https://github.com/karpathy/char-rnn, http://karpathy.github.io/2015/05/21/rnn-effectiveness/ |
Yok | Bayesian classifier for medical diagnosis on the Cleveland heart disease set.https://github.com/Sirupsen/medical-diagnosis |
- https://en.wikipedia.org/wiki/F1_score, http://blog.tryolabs.com/2013/03/25/why-accuracy-alone-bad-measure-classification-tasks-and-what-we-can-do-about-it/
- Lily (820$): https://www.lily.camera/
- ArDrone (620$): http://ardrone2.parrot.com/
- Google CardBoar: https://www.google.com/intl/tr_ALL/get/cardboard/get-cardboard/
- Prijector: Wireless Presentation Device: https://prijector.com/
Kinect,
- Object Detection: https://github.com/marceljuenemann/kinect-object-detection
- http://blogs.mathworks.com/steve/
- http://colah.github.io/
- http://vision.princeton.edu/research.html
- Image processing, Neural Network, ImageNet: http://karpathy.github.io/
- A machine learning package built for humans: https://github.com/airbnb/airflow, http://airbnb.github.io/aerosolve/
- https://www.reddit.com/r/MachineLearning/
- http://www.datascienceweekly.org/data-scientist-interviews
- http://www.wired.com/category/science
- https://medium.com/search?q=science
- OCR: https://github.com/madmaze/pytesseract
- Computer “Vision” for the Visually Impaired: I have a dream: https://medium.com/@karim_ouda/computer-vision-for-the-visually-impaired-i-have-a-dream-7eaee112aeb9#.6pew7gu41
- An open source iOS framework for GPU-based image and video processing http://www.sunsetlakesoftware.com/2012/02/12/introducing-gpuimage-framework https://github.com/BradLarson/GPUImage, GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing. https://github.com/BradLarson/GPUImage2
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Open Computer Vision: http://opencv.org/, Ruby/GEM/RoR: https://github.com/ruby-opencv/ruby-opencv, Youtube:OpenCV Ruby Tutorial 1 - Hello Contours, kitap+code, https://www.reddit.com/domain/pyimagesearch.com
- Repository for OpenCV's extra modules: https://github.com/Itseez/opencv_contrib
- https://codewords.recurse.com/issues/six/image-processing-101
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Open Source Biometric Recognition: http://openbiometrics.org/
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Open Intelligent Multimedia Analysis for Java (OpenIMAJ): http://www.openimaj.org/
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Image recognition open source index and search engine http://pastec.io, https://github.com/ryanfb/pastec
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Content aware image cropping: https://github.com/jwagner/smartcrop.js
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Seam carving: https://www.youtube.com/watch?v=vIFCV2spKtg, <convert afis_800x600.png -liquid-rescale 800x200! temp1.jpg>, http://www.mathworks.com/matlabcentral/fileexchange/18089-seam-carving-for-content-aware-image-resizing--gui-implementation-demo
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HTTP server libraries for generating webpage preview thumbnails: https://github.com/agschwender/python-web2image-server
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Efficient subpixel image registration by cross-correlation on Matlab, Image Registration for Astronomy
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A utility class for working with colors in JavaScript: https://github.com/Automattic/Color.js
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Finding pools in a map with OpenCV: https://github.com/thiagopradi/Pool-Finder
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neural image analogies: https://github.com/awentzonline/image-analogies
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See also: https://github.com/alexjc/neural-doodle
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Generate unique 2D textures from example images and a specification with this command-line tool: https://github.com/alexjc/imgscaper
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HTML5 Image Glitcher App http://fatiherikli.github.io/image-glitcher/ https://github.com/fatiherikli/image-glitcher
- Interactively measure features in images: http://blogs.mathworks.com/pick/2013/07/12/interactively-measure-features-in-images/
- Colorspaces out the Wazoo!: http://blogs.mathworks.com/pick/2013/05/10/colorspaces-out-the-wazoo/
- Converting Images from Grayscale to Color: http://blogs.mathworks.com/pick/2012/11/25/converting-images-from-grayscale-to-color/
- Manage the (Automatic) Naming of Your Figure Windows: http://blogs.mathworks.com/pick/2013/04/19/manage-the-automatic-naming-of-your-figure-windows/
- Figure margins, subplot spacings, and more…: http://blogs.mathworks.com/pick/2012/12/21/figure-margins-subplot-spacings-and-more/
- plotyy: http://blogs.mathworks.com/loren/2013/03/27/multiple-y-axes/
- regresyon: http://blogs.mathworks.com/loren/2012/03/16/new-regression-capabilities-in-release-2012a/
- Python: camera calibration vs https://github.com/erget/StereoVision, http://erget.github.io/StereoVision/
- Game: A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine. https://github.com/leereilly/games
Matlab kurulum on Ubuntu: https://github.com/19ceng/ev/issues/22#matlab-kurulum-on-ubuntu