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538 Election Forecasting Model
Materials for the workshop Advanced Text Analysis with SpaCy and Scikit-Learn, given at NYU during NYCDH Week 2017.
Arelle open source XBRL platform
Deterministically build docker images from a git repository + commit
Caffe2 is a lightweight, modular, and scalable deep learning framework.
IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.
fast.ai Courses
General Assembly's Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
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.
Ways of doing Data Science Engineering and Machine Learning in R and Python
Curriculum for Introduction to Data Science (Data 301) at Cal Poly
a curated list of R tutorials for Data Science, NLP and Machine Learning
:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Keras code and weights files for popular deep learning models.
Repo for the Deep Learning Nanodegree Foundations program.
Training resources around Deep Learning and CNTK
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
TensorFlow Basic Tutorial Labs
A push-button Digital Humanities laboratory.
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
My DLND assignment project.
For DLND assignment 5.
Demo images for use in try.jupyter.org and tmpnb.org
Opinionated stacks of ready-to-run Jupyter applications in Docker.
Spawns JupyterHub single user servers in Docker containers
Reimplementation of DRAW
:angel: Morph faces with Python OpenCV, Numpy, Scipy
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.