tailwind / bdotLinks
Fast Dot Products on Pretty Big Data
☆15Updated 7 years ago
Alternatives and similar repositories for bdot
Users that are interested in bdot are comparing it to the libraries listed below
Sorting:
- Fast Vector Operations on Pretty Big Data☆13Updated 10 years ago
- Jeremy's Machine Learning Library☆32Updated 8 years ago
- A polite, minimal interface for sending python objects to and from Amazon S3.☆57Updated 9 years ago
- Algorithm's team Jupyter Notebooks☆113Updated 6 months ago
- Nearest Neighbor Search in High Dimensional Spaces☆13Updated 10 years ago
- Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.☆30Updated 10 years ago
- Autoencoders to find structure in arbitrary datasets☆122Updated 10 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Propagation Technique for Solving Low Rank Matrix Completion☆37Updated 8 years ago
- Example scripts for various deep learning APIs.☆27Updated 10 years ago
- Automating image builds for deep learning based applications since 2016☆51Updated 8 years ago
- Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.☆52Updated 8 years ago
- Machine Learning solution for Kaggle.com's "Partly Sunny with a Chance of Hashtags"☆27Updated 12 years ago
- Visualizing High-Dimensional Data in the Browser with SVD, t-SNE and Three.js☆167Updated 11 years ago
- PDF and python files for creating time maps and downloading tweets☆59Updated 5 years ago
- Fast, easy and intuitive machine learning prototyping.☆124Updated 11 years ago
- Python forecasting and smoothing library☆67Updated 6 years ago
- A domain-general, Bayesian method for analyzing high-dimensional data tables☆328Updated last year
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Updated last year
- Python bindings to HTFE☆33Updated 10 years ago
- A Topic Modeling toolbox☆92Updated 9 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆67Updated 10 years ago
- Little side display of Jupyter kernel rich output☆90Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Updated last year
- datagramas - view and scaffold d3.js visualizations in Jupyter notebooks☆132Updated 9 years ago
- A Python library for learning from dimensionality reduction, supporting sparse and dense matrices.☆78Updated 8 years ago
- A slim, non-SWIG Python adapter to CTesseract (Tesseract OCR for C).☆24Updated 11 years ago
- Advanced git and github course material☆39Updated 7 years ago