Category Archives: Artificial Intelligence

Artificial Intelligence: Links And Resources (88)

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Lossless Triplet loss
https://towardsdatascience.com/lossless-triplet-loss-7e932f990b24
A more efficient loss function for Siamese Neural Networks

Convolutional Neural Networks
https://www.coursera.org/lecture/convolutional-neural-networks/triplet-loss-HuUtN

Siamese Neural Networks for One-shot Image Recognition
https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

One Shot Learning with Siamese Networks in PyTorch
https://hackernoon.com/one-shot-learning-with-siamese-networks-in-pytorch-8ddaab10340e

Siamese Network & Triplet Loss
https://towardsdatascience.com/siamese-network-triplet-loss-b4ca82c1aec8

Implementation of triplet loss in TensorFlow
https://github.com/omoindrot/tensorflow-triplet-loss
https://omoindrot.github.io/triplet-loss

Loc2Vec: Learning location embeddings with triplet-loss networks
https://www.sentiance.com/2018/05/03/loc2vec-learning-location-embeddings-w-triplet-loss-networks/

Triplet loss and its uses
https://effectiveml.com/blog/triplet-loss-and-its-uses.html

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

 

Artificial Intelligence: Links And Resources (87)

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Public preview: Named Entity Recognition in the Cognitive Services Text Analytics API
https://azure.microsoft.com/en-us/blog/public-preview-named-entity-recognition-in-the-cognitive-services-text-analytics-api/

AI News | Is Autonomous Driving Really Safe?
https://software.intel.com/es-es/videos/ai-news-is-autonomous-driving-really-safe

Use Kaggle to start (and guide) your ML/ Data Science journey — Why and How
https://towardsdatascience.com/use-kaggle-to-start-and-guide-your-ml-data-science-journey-f09154baba35

Predicting Customer Churn with IBM Watson Studio
http://businessoverbroadway.com/predicting-customer-churn-with-ibm-watson-studio

Facial recognition api for Python and the command line
https://github.com/ageitgey/face_recognition

Facial recognition system
https://en.wikipedia.org/wiki/Facial_recognition_system

FaceNet: A Unified Embedding for Face Recognition and Clustering
https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf

OpenFace
https://cmusatyalab.github.io/openface/
Free and open source face recognition with deep neural networks.

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

 

Artificial Intelligence: Links And Resources (86)

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Transfer Learning
https://en.wikipedia.org/wiki/Transfer_learning

Transfer Learning for Deep Learning
https://machinelearningmastery.com/transfer-learning-for-deep-learning/

A bot disguised as a human software developer fixes bugs
https://www.technologyreview.com/s/612336/a-bot-disguised-as-a-human-software-developer-fixes-bugs/

Human-competitive Patches in Automatic Program Repair with Repairnator
https://arxiv.org/abs/1810.05806

TensorBoard
https://www.tensorflow.org/guide/summaries_and_tensorboard

FreeLing Tagset Description
https://talp-upc.gitbooks.io/freeling-4-0-user-manual/content/tagsets.html

Google Dataset Search
https://toolbox.google.com/datasetsearch

DrivenData
https://www.drivendata.org/
Data Science Competitions to Save the World

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (85)

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Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing
https://arxiv.org/pdf/1708.03307.pdf

A Deep Learning Approach for Tumor Tissue Image Classification
https://www.researchgate.net/publication/298929528_A_Deep_Learning_Approach_for_Tumor_Tissue_Image_Classification

Using Machine Learning for Classification of Cancer Cells
https://www.s.u-tokyo.ac.jp/en/utrip/archive/2017/pdf/2_07.pdf

A Deep Learning Approach for Cancer Detection and Relevant Gene Identification
https://psb.stanford.edu/psb-online/proceedings/psb17/danaee.pdf

An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images
https://www.nature.com/articles/s41598-018-25005-7

Google’s Machine Learning Model can Detect Cancer in Real-Time
https://www.analyticsvidhya.com/blog/2018/04/googles-machine-learning-model-can-detect-cancer-real-time/

Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images
https://pdfs.semanticscholar.org/e47c/3012e443d3bd7b0e5630427595e765c4b21f.pdf

Deep Learning for Cancer Diagnosis: A Bright Future
https://software.intel.com/en-us/articles/deep-learning-for-cancer-diagnosis-a-bright-future

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (84)

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R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
https://towardsdatascience.com/r-cnn-fast-r-cnn-faster-r-cnn-yolo-object-detection-algorithms-36d53571365e

Review: Fast R-CNN (Object Detection)
https://medium.com/coinmonks/review-fast-r-cnn-object-detection-a82e172e87ba

1. Introduction to How Faster R-CNN, Fast R-CNN and R-CNN Works
https://www.youtube.com/watch?v=v5bFVbQvFRk

Udacity Vehicle Detection faster rcnn
https://www.youtube.com/watch?v=dLwdY0S_8DY

Mask R-CNN
https://www.youtube.com/watch?v=g7z4mkfRjI4

Human Instances Segmentation (Faster RCNN + UNet) in Supervisely
https://www.youtube.com/watch?v=7eOLm_dsuz8

Image augmentation for machine learning experiments
https://github.com/aleju/imgaug
https://imgaug.readthedocs.io/en/latest/

Cancer Cells Detection Using Digital Image Processing Methods
https://pdfs.semanticscholar.org/2b24/efb5c9d853e9d32c37937be67f00bae25d7b.pdf

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

 

Artificial Intelligence: Links And Resources (83)

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Training a better Haar and LBP cascade based Eye Detector using OpenCV
https://www.learnopencv.com/training-better-haar-lbp-cascade-eye-detector-opencv/

Histogram of oriented gradients
https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients

Histograms of oriented gradients for human detection
https://ieeexplore.ieee.org/document/1467360

Darknet Convolutional Neural Networks
https://github.com/pjreddie/darknet

SSD: Single Shot MultiBox Detector
https://arxiv.org/abs/1512.02325

Single Shot detectors
https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/single-shot-detectors.html

SSD object detection: Single Shot MultiBox Detector for real-time processing
https://medium.com/@jonathan_hui/ssd-object-detection-single-shot-multibox-detector-for-real-time-processing-9bd8deac0e06

Fast Region-based Convolutional Neural Network
https://arxiv.org/abs/1504.08083

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (82)

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Botia Artificial Intelligence Exercises
https://bitbucket.org/botiaio/

Viola–Jones object detection framework
https://en.wikipedia.org/wiki/Viola%E2%80%93Jones_object_detection_framework

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
https://arxiv.org/abs/1406.4729

Spatial pyramid pooling (SPP)
https://gist.github.com/yardstick17/22c02363c5e04763373b588f1a3bceeb

How does the spatial pyramid matching method work?
https://www.quora.com/How-does-the-spatial-pyramid-matching-method-work

Convolution neural nets, Part 2
https://blog.acolyer.org/2017/03/21/convolution-neural-nets-part-2/

YOLO: Real-Time Object Detection
https://pjreddie.com/darknet/yolo/

Histogram of Oriented Gradients
https://www.learnopencv.com/histogram-of-oriented-gradients/

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez