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A curated list of awesome Machine Learning frameworks, libraries and software.
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
CXXNET, yet another neural network toolkit
Deep Learning with TensorFlow by Packt
Using speech recognition approaches (Deep Belief Net) for analyzing birdsong
Deep Learning Tutorial notes and code. See the wiki for more info.
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.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Matlab interface to Graphviz graph layout package. Allows interactive editing of the resulting graphs.
This is now the official location of the Kaldi project.
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.
Code samples for my book "Neural Networks and Deep Learning"
java deep learning algorithms and deep neural networks with gpu acceleration
Solves the TSP using multithreaded ACO method
This library provides common speech features for ASR including MFCCs and filterbank energies.
mostly changes in RBM code. including PCD
Restricted Boltzmann Machines in Python.
Using Deep Belief Networks to convert agricultural speech data to text
Pure python implementation of SNN
Simple tutorials using Google's TensorFlow Framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.