duolajiang Goto Github PK

followers: 7.0 following: 17.0 repos: 70.0 gists: 0.0

Name: Lingjie

Type: User

Bio: Causal inference

Location: Eindhoven

Lingjie's Projects

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

blkvar

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

bmm_attentional_cnn

A CNN with an attentional module that I built while attending the brains minds and machines summer course

braindecode

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

contextual

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

deep-learning-papers-reading-roadmap

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

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_learning

Implementation of Yoshua Bengio's Deep Learning Algorithms. For Research purposes.

denovo

Lee, Small and Dominici (2020) "Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies"

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dual

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

easy_hmm

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

edward

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

empirical-bayes-book

Introduction to Empirical Bayes: Examples from Baseball Statistics

encdec

Basic RNN Encoder Decoder in Tensorflow

extendinginferences

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

first

haha

footstrap

Tutorial package

guidelines

Guidelines for publishing a repository in the IKNL space

duolajiang Goto Github PK

Lingjie's Projects

Recommend Projects

Recommend Topics

Recommend Org