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active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

adabound

An optimizer that trains as fast as Adam and as good as SGD.

ai-roadmap

ApacheCN AI 路线图（知识树）

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

amortized_svgd

Experiments of amortized stein variational gradient

andrew-ng-deep-learning

吴恩达-深度学习

anp-cnp-convcnp-sde

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arc

The Abstraction and Reasoning Corpus

attack

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

attentive-neural-process

A Pytorch Implementation of Attentive Neural Process

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

autograd

Efficiently computes derivatives of numpy code.

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bayesbybackprop

Reproducing the results in the paper "Weight Uncertainty in Neural Networks" by Blundell et. al., https://arxiv.org/abs/1505.05424

bayesbyhypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

bayesbyhypernet_pytorch

bayesgan

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

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesian-nn-uncertainty

Classification uncertainty using Bayesian neural networks

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayespca

Regularized Principal Component Analysis via Variational Bayes inference

bidmach

CPU and GPU-accelerated Machine Learning Library

big_data_resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源

brancher

A user-centered Python package for differentiable probabilistic inference

brew

:beer: The missing package manager for OS X

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.