dhīra — a very learned and gentle scholar

A primitive practise framework created while working with Kaggle Quoa dataset on Question Similarity.

Following git repo "https://github.com/nelson-liu/paraphrase-id-tensorflow", is the base reference for my work.

Why dhīra?

• To model or practice any TensorFlow examples/tutorials out there, with minimal work
• To explore application based use cases with TensorFlow
• Why not Keras? Simple! Keras is a birds view from a 10000ft!!!
• Abstract common TensorFlow environment setup and concentrate more on modeling from academic papers
• Creates custom Dataset classes and reuses them across models
• To write custom models from scratch and understand the model from an Enginering perspective

Don't forget to check MiniFlow, adopted from Udacity Course, that explains how TensorFlow work in abstract manner!

Papers and their implementation...

Created with tablesgenerator and validated here!

Domain	Application	Research Paper	Dataset / OpenAI Gym	dhīra Reference	TF/Keras	References
NLP
	Word2Vec	1.Glove 2.Noise Contrasive Estimation 3.Neural Probabilistic Language Models 4.Graphical Models for Language Modeling		model dataset feature	TF
	Sentence Similarity	Siamese LSTM	Quora	model dataset feature	TF
		Matching Siamease LSTM		model dataset feature
	Sentence Clasification	ConvNet1 ConvNet2	Moview Review	model dataset feature		1.http://cs231n.github.io/convolutional-networks/ 2.http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp 3.http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/Git: 4.https://github.com/yoonkim/CNN_sentence
Reinforced Learning	Asyncronous RL	Asyncronous RL	OpenAI Gym		Keras	https://github.com/coreylynch/async-rl
CV
	Classification	Convolutional Imagenet	Cifiar	model dataset feature
		Alexnet		model	Keras	https://www.analyticsvidhya.com/blog/2017/08/10-advanced-deep-learning-architectures-data-scientists/
	Recognition	VGGnet			Keras	Code: https://github.com/fchollet/keras/blob/master/keras/applications/vgg16.py
		GoogleNet			Keras	Code: https://github.com/fchollet/keras/blob/master/keras/applications/inception_v3.py
		ResNet			Keras	Code: https://github.com/fchollet/keras/blob/master/keras/applications/resnet50.py
		ResNeXt			Keras	Code: https://github.com/titu1994/Keras-ResNeXt
		RCNN (Region Based CNN)			Keras	Code: https://github.com/yhenon/keras-frcnn
		YOLO (You Only Look Once) Notes: Real time network! TODO!!!			Keras	Code: https://github.com/allanzelener/YAD2K
		SqueezeNet Notes: Must explore! TODO!!!			Keras	Code: https://github.com/rcmalli/keras-squeezenet
	Segmentation	SegNet			Keras	Code: https://github.com/imlab-uiip/keras-segnet
	Others	GAN			Keras	1. Code: https://github.com/bstriner/keras-adversarial 2. https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans/

System Setup:

pip install -r requirements.txt

Manual:

• https://github.com/openai/universe
• https://github.com/openai/gym#atari

How to run?

• Check example folder

How to clone this repo?

git clone --recursive --jobs 8 https://github.com/Mageswaran1989/dhira
cd dhira/
git pull --recurse-submodules

Explorations

exploration/ folder contains my reference materials and some of the best Git repos out there on:

• Cookbooks
  • Python Pandas
    • https://github.com/jvns/pandas-cookbook
  • TensorFlow
    • https://github.com/nfmcclure/tensorflow_cookbook
• Machine Learning
  • Udacity
    • https://github.com/udacity/machine-learning
• Deep Learning
  • Keras
    • https://github.com/leriomaggio/deep-learning-keras-tensorflow
• Maths for Engineers
  • Linear Algebra
    • https://github.com/juanklopper/MIT_OCW_Linear_Algebra_18_06
  • Statistics
    • https://github.com/AllenDowney/ThinkStats2
  • Diffrential Equations
    • https://github.com/juanklopper/Differential-Equations -Jupyter Notebooks
  • Data Science
    • https://github.com/donnemartin/data-science-ipython-notebooks
  • TensorFlow Video Tutorials
    • https://github.com/Hvass-Labs/TensorFlow-Tutorials

All time DL References

Optimization

• An overview of gradient descent optimization algorithms∗

Convolutional Network

• http://cs231n.github.io/convolutional-networks/

Awesome DeepLearning

Awesome TensorFlow

A gallery of interesting Jupyter Notebooks

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Sub modules notes:

#add submodule and define the master branch as the one you want to track  
git submodule add -b master [URL to Git repo]     
git submodule init

#update your submodule --remote fetches new commits in the submodules 
# and updates the working tree to the commit described by the branch  
# pull all changes for the submodules
git submodule update --remote
 ---or---
# pull all changes in the repo including changes in the submodules
git pull --recurse-submodules


# update submodule in the master branch
# skip this if you use --recurse-submodules
# and have the master branch checked out
cd [submodule directory]
git checkout master
git pull

# commit the change in main repo
# to use the latest commit in master of the submodule
cd ..
git add [submodule directory]
git commit -m "move submodule to latest commit in master"

# share your changes
git push