Yazar: Ferhat Kurt

Open Zeka Servisi geliştirilmesinde kullanılan modellerin geliştirilmesinde kullanılan kaynaklara aşağıdan erişebilirsiniz.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
   https://github.com/rbgirshick/py-faster-rcnn
2. DeepBox: Learning Objectness with Convolutional Networks  (Experiments on both PASCAL and COCO)
   https://github.com/weichengkuo/DeepBox
   https://porter.io/github.com/weichengkuo/DeepBox
3. Places2
   http://places2.csail.mit.edu/
   http://image-net.org/challenges/talks/WM_presentation.pdf
4. Coco
   http://image-net.org/challenges/talks/COCO-ICCV15-clean.pdf
5. http://image-net.org/challenges/ilsvrc+mscoco2015
6. Yüz tanıma
   1. Yüz tanıma kütüphane: http://www.robots.ox.ac.uk/~vgg/software/vgg_face/
   2. https://github.com/AlfredXiangWu/face_verification_experiment
   3. https://github.com/RiweiChen/DeepFace
   4. Veritabanı indirmek için: https://github.com/lightalchemist/FaceScrub
   5. http://arxiv.org/abs/1501.02876v4
   6. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
   7. Yüz veritabanı: http://vis-www.cs.umass.edu/lfw/#download
   8. 40 GB yüz veritabanı http://wlfdb.stevenhoi.com/
   9. Openface http://cmusatyalab.github.io/openface/
   10. Veriseti http://biometrics.idealtest.org
   11. Veriseti: http://stoudemireyan32.wix.com/yanli#!face-databases/cmme
   12. A Lightened CNN for Deep Face Representation
   13. Veriseti: http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html
   14. Veriseti: http://www.cs.tau.ac.il/~wolf/ytfaces/
   15. Learning Face Representation from Scratch
   16. Akadmeik kişi: http://dayongwang.info
   17. Clustering Millions of Faces by Identity
   18. Face Search at Scale: 80 Million Gallery
   19. Örnek kodlar: https://github.com/tambetm/face_kiosk
   20. Kitap: Advances in Face Detection and Facial Image Analysis
   21. http://vintage.winklerbros.net/emotiW.html
   22. caffe yüz kütüphane: https://github.com/guoyilin/caffe
7. Fashion API
   https://github.com/DeepFashion/Caffe-API
8. Speech Recognition
   1. https://github.com/pannous/caffe-speech-recognition
   2. https://github.com/pannous/tensorflow-speech-recognition
   3. https://github.com/baidu-research/warp-ctc
   4. https://github.com/SeanNaren/CTCSpeechRecognition
   5. http://svail.github.io/mandarin/
   6. http://deeplearning.stanford.edu/lexfree/
9. Baidu: https://svail.github.io/
10. http://www.nervanasys.com/https://github.com/nervanazoo/NervanaModelZoo
11. https://github.com/karpathy/neuraltalk2
    1. Demo: http://cs.stanford.edu/people/karpathy/neuraltalk2/demo.html
    2. Demodan elde edilen metin sese çevrilecek.
    3. Örnek: metin ses dönüşümü: http://responsivevoice.org/api/
12. http://songhan.github.io/SqueezeNet-Deep-Compression/
    1. https://github.com/songhan/SqueezeNet-Deep-Compression
    2. https://github.com/DeepScale/SqueezeNet
13. Örnek servisler
    1. http://emovu.com/e/
14. Kanser hücre tespiti yarışması http://grand-challenge.org/
15. İsme göre cinsiyet tespiti: https://genderize.io
16. LWF veritabanını cinsiyete göre sınıflandırma: https://github.com/Pletron/LFWgender
17. Yaş ve cinsiyet sınıflandırma: https://github.com/GilLevi/AgeGenderDeepLearning
18. Duygusal sınıflandırma: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/
19. Resim metin – Generative Adversarial Text-to-Image Synthesis: https://github.com/reedscot/icml2016
20. Deep learning API with emotion recognition application: https://github.com/mihaelacr/pydeeplearn
21. Kütüphaneler:
    1. http://www.vlfeat.org/matconvnet/
22. Logo tespiti
    1. http://logo-net.org
    2. LOGO-Net: Large-scale Deep Logo Detection and Brand Recognitionwith Deep Region-based Convolutional Networks
    3. Computationally Feasible Logo Recognition using Deep Learning
    4. Logo veritabanı: http://www-sop.inria.fr/members/Alexis.Joly/BelgaLogos/BelgaLogos.html#download
23. Servisler
    1. https://www.labell.io/
    2. https://sightengine.com/
    3. http://www.faceall.cn/
    4. http://imagevision.com/
24. DeepPose implementation nudity
    1. https://github.com/mitmul/deeppose
    2. http://static.googleusercontent.com/media/research.google.com/ja//pubs/archive/42237.pdf
    3. Nudity detection with Python
    4. Applying deep learning to classify pornographic images and videos
25. Describing Videos with Neural Networks -Neurotalk
26. Makine kurulumu
    1. The World’s Fastest Deep Learning System Right at Your Desk
27. Diğer:
    1. convnet-benchmarks: https://github.com/soumith/convnet-benchmarks