Kevin Hu's Projects
Replication code for AAAI 2016 paper "Robust Text Classification in the Presence of Confounding Bias"
Resources about activity recognition-行为识别资料
A curated list of awesome deep causal learning methods
Lecture notes on Bayesian deep learning
Building a Bayesian deep learning classifier
Bayesian LSTM for time-series prediction.
Must-read papers and resources related to causal inference and machine (deep) learning
Uplift modeling and causal inference with machine learning algorithms
Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".
Official implementation for paper: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference
Code to conduct experiments introduced in CLOCS: Contrastive Learning of Cardiac Signals
Implementation of self-supervised image-level contrastive pretraining methods using Keras.
Keras implementation of Representation Learning with Contrastive Predictive Coding
Contrastive Learning (SimCLR) for Human Activity Recognition
Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".
Modeling Uncertainty in RNNs for Time Series Forecasting
Data Shapley: Equitable Valuation of Data for Machine Learning
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Distributional Shapley: A Distributional Framework for Data Valuation
Deep Learning for Time Series Classification
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.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This repo is for the python code of the Feature-label information dependency analysis.
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
Deep Learning-Based Gait Recognition Using Smartphones in the Wild