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Name: sepideh
Type: User
Company: @Google
Twitter: sepid_s
Location: San Francisco
Name: sepideh
Type: User
Company: @Google
Twitter: sepid_s
Location: San Francisco
Algorithms implemented in Python, CPP, etc.
Minimal examples of data structures and algorithms in Python
A PyTorch implementation of the Transformer model in "Attention is All You Need".
List of awesome university courses for learning Computer Science!
An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Recurrent Neural Network - A curated list of resources dedicated to RNN
A structured list of resources about Sum-Product Networks (SPNs)
This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
Bayesian Program Learning model for one-shot learning
Caffe: a fast open framework for deep learning.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Open Source Data Science Resources.
[In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch
The original code from the DeepMind article + my tweaks
Deep learning in Python
A guide to document clustering in Python
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
a repository for generative models
Free resources for learning data science
Code for RNN and Spoken Language Understanding
Examples of statistical models implemented using JAGS
Open Content for self-directed learning in data science
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.