About Gist https://www.labnol.org/internet/github-gist-tutorial/28499/
(blog)SVMs
http://blog.hackerearth.com/simple-tutorial-svm-parameter-tuning-python-r
Background subtraction
https://github.com/stgstg27/Background-Subtraction
==Visualizaion==
Basic data visualization maps
https://mubaris.com/2017/09/26/introduction-to-data-visualizations-using-python/
More visualisation
https://github.com/ContextLab/storytelling-with-data/blob/master/data-stories/education/tutorial.ipynb
Visualisation with pandas
https://www.kaggle.com/residentmario/univariate-plotting-with-pandas/notebook
Average Precision as AU-PR curve
https://sanchom.wordpress.com/tag/average-precision/
https://medium.com/@jonathan_hui/map-mean-average-precision-for-object-detection-45c121a31173
==TSNE==
Misreading TSNE plots
https://distill.pub/2016/misread-tsne/
==CNN/DL==
SGD >> Adam for Generalisation:
https://arxiv.org/abs/1705.08292
CS231n Gradient check http://cs231n.github.io/neural-networks-3/#gradcheck
Open Images dataset maker https://github.com/aferriss/openImageDownloader
DL Mistakes http://ppwwyyxx.com/2017/Unawareness-Of-Deep-Learning-Mistakes/#more
Training classification network- kaggle10th https://towardsdatascience.com/image-classification-challenge-using-transfer-learning-and-deep-learning-studio-2e89c3189fcf
Kaggle4th classification tips https://www.kaggle.com/c/cdiscount-image-classification-challenge/discussion/45733
Kaggle #1 classification tips https://medium.com/neuralspace/kaggle-1-winning-approach-for-image-classification-challenge-9c1188157a86
Warm restarts paper https://arxiv.org/pdf/1608.03983.pdf
Optimal Learning rate https://towardsdatascience.com/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0
Hyperparams https://towardsdatascience.com/artificial-intelligence-hyperparameters-48fa29daa516
On Convolutional NN
(blog)About CNN developments through the years- https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html
Understanding Convolutional operation in CNN- https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
VIsualising MNIST & understanding Dimensionality Reduction http://colah.github.io/posts/2014-10-Visualizing-MNIST/
Lao ML notes http://claoudml.strikingly.com
Tfrecords https://planspace.org/20170323-tfrecords_for_humans/
https://planspace.org/20170403-images_and_tfrecords/
Google ML crash course https://developers.google.com/machine-learning/crash-course/ml-intro
(blog)R-CNN to Mask R-CNN https://blog.athelas.com/a-brief-history-of-cnns-in-image-segmentation-from-r-cnn-to-mask-r-cnn-34ea83205de4
(blog)Fast, Faster R-CNN https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/
https://jhui.github.io/2017/03/15/Fast-R-CNN-and-Faster-R-CNN/
(blog)RoI pooling https://blog.deepsense.ai/region-of-interest-pooling-explained/
(blog)Receptive field arithmetic https://medium.com/mlreview/a-guide-to-receptive-field-arithmetic-for-convolutional-neural-networks-e0f514068807
(SO answer) Anchors and faster-RCNN https://stats.stackexchange.com/questions/265875/anchoring-faster-rcnn
(SO Answer) Cnn filter weights initialization https://stats.stackexchange.com/questions/200513/how-to-initialize-the-elements-of-the-filter-matrix
(blog)cross entropy http://rdipietro.github.io/friendly-intro-to-cross-entropy-loss/
(article)Cross Entropy losses - categorical, focal https://gombru.github.io/2018/05/23/cross_entropy_loss/
(article)Transfer Learning/Fine tune CNN http://cs231n.github.io/transfer-learning/
(coursera)CNN/NMS/Object Detection https://www.coursera.org/learn/convolutional-neural-networks/lecture/dvrjH/non-max-suppression
(medium article)Image augmentation with tf https://medium.com/ymedialabs-innovation/data-augmentation-techniques-in-cnn-using-tensorflow-371ae43d5be9
Also an augmentor library https://github.com/mdbloice/Augmentor
On Bounding Box Regression https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=4949&context=open_access_etds
Siamese Network Image similarity
Tensorflow series https://blog.metaflow.fr/tensorflow-a-primer-4b3fa0978be3
==PYTHON==
Python Tutorial https://www.python-course.eu/
Guide to import https://chrisyeh96.github.io/2017/08/08/definitive-guide-python-imports.html
Amazing things about python https://nedbatchelder.com/text/names.html https://stackoverflow.com/questions/5131538/slicing-a-list-in-python-without-generating-a-copy
Why self is here to stay http://neopythonic.blogspot.in/2008/10/why-explicit-self-has-to-stay.html
The init self confusion https://stackoverflow.com/questions/625083/python-init-and-self-what-do-they-do
(website)Learn Python http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html
==KAGGLE==
kaggle ensemble guide https://mlwave.com/kaggle-ensembling-guide/
(blog)Kaggle Zoo Solution http://benanne.github.io/2014/04/05/galaxy-zoo.html
Setting up the computer https://www.kaggle.com/c/allstate-claims-severity/discussion/26423#150025
On AI companies
https://a16z.com/2020/02/16/the-new-business-of-ai-and-how-its-different-from-traditional-software/