chris_podorsiki's repositories
AAAI-2019-AFS
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
C6004
This repository included all programing pratices during my entire Master Degree in Monash Uni.
causalgraphicalmodels
Causal Graphical Models in Python
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
CIDA
[ICML 2020] Continuously Indexed Domain Adaptation
CRF-AE
Code for EMNLP 2018 paper https://arxiv.org/pdf/1808.09075.pdf
d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
discretizedata
some UCI dataset
FoursquareAPI
A simple example of using Foursquare API to get the data about a venue (Tips, UserId, and other info) and the data about a user (homecity, gender, number of friends, lists, checkins, photos, and tips) on Python
ganblr
Ganblr toolbox
graph-convolution-nlp
Graph Convolution Network for NLP
jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
keras-contrib
Keras community contributions
Medium
Code related to blog posts on my Medium page
My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
Prediction-of-Hard-Drive-Failure
Prediction of hard drive failure using S.M.A.R.T statistics.
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 ;)
ProbabilisticSafetyforBNNs
Probabilistic Safety for Bayesian Neural Networks
PyCausality
Calculate predictive causality between time series using information-theoretic techniques
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
transferentropy
Code for the paper "Estimating Transfer Entropy via Copula Entropy"
Wide-and-Deep-Keras
Keras implementation of Tensorflow's Wide and Deep Algorithm