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My solutions to http://sqlzoo.net/ exercises
astocko / gocryptotrader
Forked from thrasher-corp/gocryptotraderA cryptocurrency trading bot supporting multiple exchanges written in Golang.
This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube
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,…
Popular Algorithms and Data Structures implemented in popular languages
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
For implemention and testing of Self-Contained Networks using PyTorch.
MLTrial1ImageClassification
VGG16 models for CIFAR-10 and CIFAR-100 using Keras
CIFAR-10 Object Detection with improved accuracy using Fractional MaxPooling with Convolutional Neural Networks
🎓 List of all Udacity Nanodegree programs with links to the free courses in their curricula
Spring2018-Project3-spring2018-project3-group6 created by GitHub Classroom
Spring2018-Project3-spring2018-project3-group7 created by GitHub Classroom
computer vision, SIFT, HoG, neural network, SVM, XGBoost
paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
Example of 8x Super Resolution using Up Sampling CNN and VGG 16 Keras/TensorFlow
We improve the image quality by increasing the resolution as well as the details using Convolutional Neural Networks. We achieve magnification of 2x, 4x and 8x by recycling the same network. We fur…
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Implementation of Super Resolution CNN in Keras.
Image Super-Resolution Using Deep Convolutional Networks
Answers to 120 commonly asked data science interview questions.