duolajiang

Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

aetros-cli

AETROS SDK. Python library to manage/monitor deep learning training in AETROS Trainer

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

BDA_py_demos

Bayesian Data Analysis demos for Python

BDA_R_demos

Bayesian Data Analysis demos for R

blkvar

Package for estimating impacts and cross-site variation in multi-site or blocked RCTs

ExtendingInferences

Code for `Extending inferences from a randomized trial to a new target population'

RCTrep

duolajiang/AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

duolajiang/aetros-cli

AETROS SDK. Python library to manage/monitor deep learning training in AETROS Trainer

duolajiang/bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

duolajiang/braindecode

A deep learning toolbox to decode raw time-domain EEG.

duolajiang/Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

duolajiang/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

duolajiang/deep-residual-networks

Deep Residual Learning for Image Recognition

duolajiang/deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

duolajiang/dual

A text-line interface role playing game based on C++. TO LEARN C++!

duolajiang/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

duolajiang/hello

duolajiang/hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

duolajiang/kaggle-web-traffic

1st place solution

duolajiang/keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

duolajiang/keras-attention-mechanism

Attention mechanism Implementation for Keras.

duolajiang/Keras-GAN

Keras implementations of Generative Adversarial Networks.

duolajiang/keras-resnet

Residual networks implementation using Keras-1.0 functional API

duolajiang/lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

duolajiang/openmiir

a public domain dataset of EEG recordings for music imagery information retrieval

duolajiang/openXBOW

openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit

duolajiang/PersonalizedMultitaskLearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

duolajiang/PRML

PRML algorithms implemented in Python

duolajiang/PRMLT

Matlab code for algorithms in PRML book

duolajiang/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 ;)

duolajiang/pscore_match

A Python package for propensity score matching

duolajiang/RiA2

Source code for R in Action, Second Edition

duolajiang/spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

duolajiang/ThinkBayes

Code repository for Think Bayes.

duolajiang/ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

duolajiang/zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow