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Vu Pham's Projects

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

grid-lstm icon grid-lstm

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

kalman-and-bayesian-filters-in-python icon 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.

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

misc icon misc

Python scripts for various stuff: Viterbi algorithm, word2vec, etc...

nd4j icon nd4j

Scientific Computing for the JVM (NDArrays)

pybo icon pybo

Python package for modular Bayesian optimization

pykube icon pykube

Python client library for Kubernetes

reinforce_tutorial icon reinforce_tutorial

A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.

seq2seq icon seq2seq

A general-purpose encoder-decoder framework for Tensorflow

serving icon serving

A flexible, high-performance serving system for machine learning models

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