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keras-segnet

SegNet model implemented using keras framework

keras-tensorflow-backend-cnn-finger-counting-deep_learning

This is a keras implementation of Convolution Neural Network for predict how many fingers are you holding up.

keras-tensorflow-windows-installation

10 easy steps to install Tensorflow-GPU and Keras in Windows

keras-vgg-transfer-learning

Keras-VGG-Transfer-Learning

keras_lr_finder

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

kernel_kmeans_and_adaptive_clustering

Kernel k-means and adaptive non-parametric clustering

kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

knapsackproblem

Knapsack Problem implemented in Python. This includes a Linear Greedy and Quadratic Knapsack Implementation.

kohonen-maps

Implementation of SOM and GSOM

labaiml

Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".

language-resources

Datasets and tools for basic natural language processing.

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

learning_pandas_russian_translation

Обновленная версия русского перевода книги Майкла Хейдта Learning Pandas

learnopencv

Learn OpenCV : C++ and Python Examples

lectures

Oxford Deep NLP 2017 course

libfm

Library for factorization machines

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightlda

Latent Dirichlet Allocation - inference in topic models (optimized by Metropolis - Hastings - Walker)

lime

Lime: Explaining the predictions of any machine learning classifier

linear-discriminant-analysis-python

linear discriminant analysis by hand in python

list_of_recommender_systems

A List of Recommender Systems and Resources

logistic_regression_from_scratch

Logistic Regression from Scratch in Python

logisticregression_vectorized_implementation

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

lstm-stock-prices

This project goal is to demonstrate how to use LSTM networks and apply in some real data.

lstm-to-predict-google-stock-prices

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to predict the stock prices of Google.

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

lucid4keras

lucid for keras, wrapper to import keras model to lucid for visualization

machine-learning

A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!