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Name: Andrey
Type: User
Company: University of Oxford
Bio: Mathematics of sequential data, machine learning for healthcare and clinical NLP
Location: UK
Name: Andrey
Type: User
Company: University of Oxford
Bio: Mathematics of sequential data, machine learning for healthcare and clinical NLP
Location: UK
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NLTK Book
Miscellaneous materials for teaching NLP using NLTK
TensorFlow Neural Machine Translation Tutorial
Neural Machine Translation with Theano+Keras
Python implementation of the conformal prediction framework.
Python and C++ code for reading and writing genomics data.
Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
pandas, scikit-learn, xgboost and seaborn integration
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Parsing Time: Learning to Interpret Time Expressions
Describing statistical models in Python using symbolic formulas
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
permutation tests and confidence sets
Experiments with NLP and persistent homology.
Phylogenetic analysis of multi-species genome sequence alignments to identify conserved protein-coding regions
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Implementations"
Oxford Deep NLP 2017 course - Practical 2: Text Classification
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Oxford Deep NLP 2017 course - Open practical
Practical Time-Series Analysis, published by Packt
Deep Learning Indaba 2017 Practical content
Painlessly create beautiful matplotlib plots.
:crown: Python factor analysis library (PCA, CA, MCA, FAMD)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic reasoning and statistical analysis in TensorFlow
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.