Name: Mohiuddin Khan Inamdar
Type: User
Company: Making Little Things Think!
Bio: Linux, C / C++, x86 & ARM, Distributed Systems, Hadoop, Embedded Systems, Buildroot, Artificial Intelligence
@xav-lab @xavient @XavientInformationSystems
Location: Mars
Blog: http://www.mohitech.com
Mohiuddin Khan Inamdar's Projects
Data and code behind the articles and graphics at FiveThirtyEight
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Repo for the Deep Learning Nanodegree Foundations program.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Deep Learning Machine Learning Cheat Sheets, Python Pandas, SciPy
deep-learning-nano-foundation
Most Important Deep Learning Papers
Deep-Learning-Papers-Reading-Roadmap
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Deep Learning Tutorial notes and code. See the wiki for more info.
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.
Torch implementation of DeepMask and SharpMask
Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
Dialogflow integrations with multiple platforms including KIK, Skype, Spark, Twlio, Twitter and Viber
Dialogflow Web Integration. Rich Components, Actions on Google and more
Pure c with epoll: A English-English dictionary to assist reading
awesome deep learning papers for dialog systems
Instructions on how to download books and videos from O'Reilly Learning especially now that ACM partnership is ending.
C++ standards drafts
Reading Wikipedia to Answer Open-Domain Questions
Spark package for checking data quality
A fast high compression read-only file system
Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016