chriszhangpodo
I am a data science lover and kaggle lover. Random forest and Neural network lover. I do write Map reduce,Spark I do learn SVM I do learn a lot more...
Pinned Repositories
AAAI-2019-AFS
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
AFL_adelaide_crows_data
Using python to crawling team statistics
hadoop_MapReduce
use hadoop cluster to run mapreduce
Income_data_prediction
use WOE and IV to transform the category
Kafka
Kafka
Mapreduce
Using python to create some simple mapreduce
NearestNeighbor
simple code for NearestNeighbor
R-random-forest-Churn-Prediction
Churn Prediction on Random Forest
ROCKAI
templatex
LaTeX Templates for Articles, Presentations and Thesis as in TULIP Lab
chriszhangpodo's Repositories
chriszhangpodo/ROCKAI
chriszhangpodo/templatex
LaTeX Templates for Articles, Presentations and Thesis as in TULIP Lab
chriszhangpodo/AAAI-2019-AFS
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
chriszhangpodo/C6004
This repository included all programing pratices during my entire Master Degree in Monash Uni.
chriszhangpodo/causalgraphicalmodels
Causal Graphical Models in Python
chriszhangpodo/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
chriszhangpodo/CIDA
[ICML 2020] Continuously Indexed Domain Adaptation
chriszhangpodo/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。
chriszhangpodo/da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
chriszhangpodo/discretizedata
some UCI dataset
chriszhangpodo/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
chriszhangpodo/functional_mechanism
chriszhangpodo/ganblr
Ganblr toolbox
chriszhangpodo/GANBLR_LIBRARY
chriszhangpodo/ganblr_unsupervise
chriszhangpodo/graph-convolution-nlp
Graph Convolution Network for NLP
chriszhangpodo/jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
chriszhangpodo/keras-contrib
Keras community contributions
chriszhangpodo/Medium
Code related to blog posts on my Medium page
chriszhangpodo/MLCodeGems
chriszhangpodo/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)
chriszhangpodo/Prediction-of-Hard-Drive-Failure
Prediction of hard drive failure using S.M.A.R.T statistics.
chriszhangpodo/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 ;)
chriszhangpodo/ProbabilisticSafetyforBNNs
Probabilistic Safety for Bayesian Neural Networks
chriszhangpodo/PyCausality
Calculate predictive causality between time series using information-theoretic techniques
chriszhangpodo/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
chriszhangpodo/sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
chriszhangpodo/sit742_data
chriszhangpodo/transferentropy
Code for the paper "Estimating Transfer Entropy via Copula Entropy"
chriszhangpodo/Wide-and-Deep-Keras
Keras implementation of Tensorflow's Wide and Deep Algorithm