kevinhooah Goto Github PK

aaai-2016-backdoor

Replication code for AAAI 2016 paper "Robust Text Classification in the Presence of Confounding Bias"

activityrecognition

Resources about activity recognition-行为识别资料

awesome-deep-causal-learning

A curated list of awesome deep causal learning methods

bayes-nn

Lecture notes on Bayesian deep learning

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bayesianlstm-for-time-series-prediction

Bayesian LSTM for time-series prediction.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causalml

Uplift modeling and causal inference with machine learning algorithms

cfgen

Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".

ciphy

Official implementation for paper: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference

cl-har

clocs

Code to conduct experiments introduced in CLOCS: Contrastive Learning of Cardiac Signals

contrastive-classification-keras

Implementation of self-supervised image-level contrastive pretraining methods using Keras.

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

contrastivelearninghar

Contrastive Learning (SimCLR) for Human Activity Recognition

cross-person-har

Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".

csc2541-ml-project

Modeling Uncertainty in RNNs for Time Series Forecasting

datashapley

Data Shapley: Equitable Valuation of Data for Machine Learning

deep-learning-for-human-activity-recognition

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning

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

distributionalshapley

Distributional Shapley: A Distributional Framework for Data Valuation

dl-4-tsc

Deep Learning for Time Series Classification

dnns-for-eeg-signals

dowhy

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.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

feature-label-information-dependency

This repo is for the python code of the Feature-label information dependency analysis.

fmin_adam

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

gait-monitoring-website

gait-recognition-using-smartphones

Deep Learning-Based Gait Recognition Using Smartphones in the Wild