Dan Romuald Mbanga (danromuald)

danromuald

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Company:Google

Location:New York

Twitter:@dmbanga

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Dan Romuald Mbanga's repositories

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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jupyter

Jupyter metapackage for installation, docs and chat

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pyro

Deep universal probabilistic programming with Python and PyTorch

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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ModernRobotics

Modern Robotics: Mechanics, Planning, and Control Code Library

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danromuald.github.io

Repository for the blog at www.danulab.com

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text_classification

all kinds of text classificaiton models and more with deep learning

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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tikz_cnn

Macro to draw architecture of convolutional neural nets in tikz.

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

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schuller-quantum

Source code for lecture notes

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LaTeX-examples

Examples for the usage of LaTeX

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sagemaker-pytorch-neural-style

Neural style transfer with Amazon SageMaker

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sm-ml-project-scaffold

Amazon SageMaker ML project scaffolding.

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dl-docker-volta

Deep learning Docker containers built for NVIDIA's Volta GPU on AWS P3 instances.

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Algorithms

Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

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tensorflow-workshop

Slides and code from our TensorFlow workshop.

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ipython-tikzmagic

IPython magics for generating figures with TikZ

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docker-cheat-sheet

Docker Cheat Sheet

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neural_image_captioning

Neural image captioning (NIC) implementation with Keras 2.

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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mxnet-ui

Image Classification using MXNetR

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mac-setup

Installing Development environment on Mac OS X

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shiny-apps

Some ideas

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NeuralNetwork-Examples

The same small networks implemented in different frameworks

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