hhamin's repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Deep-Learning-with-TensorFlow
Deep Learning with TensorFlow by Packt
DeepBeliefBird
Using speech recognition approaches (Deep Belief Net) for analyzing birdsong
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
graphviz4matlab
Matlab interface to Graphviz graph layout package. Allows interactive editing of the resulting graphs.
LiquidStateMachine-CSIM
This is a repo for an attempt to rebuild the LSM from Neural Micro Circuits ( http://www.lsm.tugraz.at/index.html ) I have tried to contact the orignal authors with no luck. If your them or you know them please contact me. The reason for this project is for my thesis. I have some time series that I would love to try a liquid state machine on. The original project page says it works for windows. This was in about early 2002 with win xp. The site also says they dont offer windows support. So I would like to attempt a win 7 version and if that goes well perhaps keep updating the project for win 8 and beyond. What is a Liquid State Machine? It is a type of neural network that has a pool of neurons that has randomly selected neurons connected as inputs. An LSM also has randomly sampled neurons as outputs. LSMs are suppose to be good to time series data as they have a "memory". This memory is the small circuits created by random connections of the neurons in the liquid.
neuralnetworks
java deep learning algorithms and deep neural networks with gpu acceleration
Python-Ant-Colony-TSP-Solver
Solves the TSP using multithreaded ACO method
python_speech_features
This library provides common speech features for ASR including MFCCs and filterbank energies.
rbm_toolbox
mostly changes in RBM code. including PCD
restricted-boltzmann-machines
Restricted Boltzmann Machines in Python.
speech_recog
Using Deep Belief Networks to convert agricultural speech data to text
Spiking-Neural-Network
Pure python implementation of SNN
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework