markstoehr Goto Github PK

acoustic_cues

Code for Finding Acoustic Cues

amitgroup

Code For Yali Amit's Research Group

approximate-generalized-flows-in-haskell

Implementing algorithms for generalized multicommodity flows in Haskell with a particular focus on function purity

biopython

Official git repository for Biopython (converted from CVS)

bitcoin

Bitcoin Core integration/staging tree

book

A textbook on informal homotopy type theory

buildr

Mirror of Apache Buildr

clralgo

Implementations in C++ of CLR algorithms

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cs161

University of Chicago cmsc 16100 labs

cs162

Labs for cs162 Honors Introduction to Programming II

dbm

A simple C++ deep boltzmann machine implementation

debug_seq2seq

Make seq2seq for keras work

deepnet

Implementation of some deep learning algorithms.

deepspeechsynthesis

Speech synthesis using deep neural networks - class project for IFT6266 at Université de Montréal

deepsubwordlearning

Subword Unit Learning Using Deep Boltzmann Machines

dphmm

Dirichlet Process HMM with multivariate bernoulli output distributions

eopml

Elements of Programming Machine Learning

epwc_stepanov

Efficient Programming with Components Course by Alex Stepanov

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hyde

A brazen two-column theme for Jekyll.

julia

The Julia Language: A fresh approach to technical computing.

kaldi

This is now the official location of the Kaldi project.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

lanyon

A content-first, sliding sidebar theme for Jekyll.

lighthouse

Lighthouse: a peer to peer crowdfunding app that uses Bitcoin

lstm_acoustic_embedding

Embeddings for TIMIT words with the LSTM

maidsafe

This is the super-project in which each MaidSafe library resides. Some information is common to all libraries, and is detailed here. Library-specific information can be found in each library's wiki.

markstoehr.github.io

matplotlib

matplotlib: plotting with Python