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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
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.
# Deep Learning with Keras and Tensorflow
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
Tensorflow tutorials and best practices.
A complete daily plan for studying to become a Google software engineer.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Lessons learned the hard way through over 30+ data science interviews
Bare bones Python implementations of some of the fundamental Machine Learning models and algorithms.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
The "Python Machine Learning" book code repository and info resource
A living collection of deep learning problems
A collection of high-impact and state-of-the-art SR methods
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
SRGAN implemetation with TensorFlow.
A SRGAN implement
A tensorflow implementation of SRGAN(super-resolution generative adversarial network).
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Port of Single Shot MultiBox Detector to Keras
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.