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Troy Hernandez spent the summer at NASA Ames mentoring the Frontier Development Lab; Solar Storm Prediction Team to create a deep learning system capable of predicting solar flares. This talk discusses his experiences.
Awesome GAN for Medical Imaging
A topic-centric list of HQ open datasets. PR ☛☛☛
Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.
Bangla Handwritten Character Recognition using Deep Neural Network with weights initialized by AutoEncoder
simple tutorial on Machine Learning with Scikitlearn
This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.
Caffe: a fast open framework for deep learning.
Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Ultimate Guide to Data Science Interview
ColumbiaX Artificial Intelligence
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Deep Active Learning
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Papers on Medical Image Analysis
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A list of deep learning implementations in biology
python, scala, and pyspark code for few dimensional reduction algorithms
experiments with python
4 different image classification ConvNets models for Fashion-MNIST dataset
Hands On Transfer Learning with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Everything you need to kick butt on your coding interview
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.