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ml-lab's Projects

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kaggle_crowdflower icon kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

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

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

kaokore icon kaokore

Dataset for the Collection of Facial Expressions from Japanese Artwork

kaolin icon kaolin

PyTorch library aimed at accelerating 3D deep learning research

kaos icon kaos

Deep variational inference library for Keras

karoo_gp icon karoo_gp

A Genetic Programming platform for Python with GPU support

kart icon kart

Distributed version-control for geospatial and tabular data

kcfpy icon kcfpy

Python implementation of KCF tracking algorithm

keras icon keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

keras-bert icon keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

keras-inceptionv4 icon keras-inceptionv4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras_began icon keras_began

Implementation BEGAN([Boundary Equilibrium Generative Adversarial Networks](https://arxiv.org/pdf/1703.10717.pdf)) by Keras.

keras_monet icon keras_monet

example of using LSTM Networks to generate Monet - like paintings

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