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basset

Convolutional neural network analysis for predicting DNA sequence activity.

batchrenormalization

Batch Renormalization algorithm implementation in Keras

batchwise-dropout

Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each subject to 50% dropout, the corresponding matrix multiplications for forward- and back-propagation is 75% less work as the dropped out units are not calculated.

bayesbyhypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks submitted to the Bayesian Deep Learning workshop at NIPS 2017

bayescat

Bayesian Co-estimation of Alignment and Tree

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-algorithm-execution

Bayesian algorithm execution (BAX)

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian_cnn

Bayes by Backprop implemented in a CNN in PyTorch

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

bayeslite

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

bayespa

Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]

bdcn

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

bdd_driving_model

beat-blender

Blend beats using machine learning to create music in a fun new way.

beaverdam

Video annotation tool for deep learning training labels

beethoven-start

A Neural Net using LSTMs that composes polyphonic piano music in the style of Beethoven

began-pytorch

in progress

began-tensorflow

began-tensorflow-1

python3 / Implementation of Google Brain's BEGAN in Tensorflow

behavioral-cloning

Teaching a car to drive with Convolutional Neural Networks

beholder

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

belief-propagation

An implementation of loopy belief propagation on a Bayesian Network (BN)

benchmarks

Benchmark code

benchmarks-1

Use TensorFlow efficiently

bender

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

bentoml

Model Serving Made Easy

berkeley-doc-summarizer

The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference constraints to ensure clarity.