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keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

keras-vis

Neural network visualization toolkit for keras

language-translation

Neural machine translator for English2German translation.

linear_regression_demo

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

lsi-document-similarity

Find similar documents using Latent Semantic Indexing

lstm-classification-pytorch

Text classification based on LSTM on R8 dataset for pytorch implementation

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning

machine-learning-1

Machine learning library written in readable python code

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

make_a_neural_net_live_demo

This is the code for the "How to Make a Neural Net" live session by @Sirajology on Youtube

make_a_neural_network

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

memn2n

End-To-End Memory Network using Tensorflow

memn2n-1

End-To-End Memory Networks in Theano

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

memn2n-tensorflow

"End-To-End Memory Networks" in Tensorflow

memnn

Memory Networks implementations

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

models

Models built with TensorFlow

multi-label-image-classification

Multi Label Image Classification

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

myphysicslab

myPhysicsLab provides JavaScript classes to build real-time interactive animated physics simulations

nasnet-tensorflow

A nasnet in tensorflow

neo4j-himym

neural-sentiment

A sentiment analyzer using deep rnns, built with TensorFlow

neurovis

A browser-based neural network simulation