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allen_ai_science_challenge_junweipan

als_track_f0

Adaptive least squares (ALS) algorithm to find (instantaneous) fundamental frequency of a speech signal

applied-math-for-ml

autismvoiceprint

Research: Nasality in human speech samples (all ages) is strongly correlated to austistic behavior

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

dac18-contest-gpu-v1

OSSDC Repository for 2018 DAC System Design Contest - GPU - http://www.cse.cuhk.edu.hk/~byu/2018-DAC-HDC/

distracted-drivers-keras

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

dog-project

gnucash

Public Mirror of code.gnucash.org/gnucash

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hadoop

Brown Systems Group mirror of Apache Hadoop

hadoop-pivot

Instructions to install "pivot tracing" instrumented hadoop on AWS, following pivot tracing tutorial

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kaggle-dsb2-keras

Keras tutorial for Kaggle 2nd Annual Data Science Bowl

kaggle-whales-caffe

kaggle_distracted_driver

Solutions

keras

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

machine-learning

Content for Udacity's Machine Learning curriculum

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-class

Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras

neura

Neural Evolutionary & Unifying Retro Architectures

openface

Face recognition with deep neural networks.

pdb-secondary-structure

pdb_exps

Experiments of Protein Data Bank

picast

PiCAST turns your $35 Raspberry Pi in to a Chromecast like Device.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pynq

Python Productivity for ZYNQ

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

sact

Sentiment Analysis of Cryptocurrencies using Twitter-feed