XiaoFeng Wang's repositories
app_deep_learning
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
atsa
Applied Time Series Analysis - course website repository.
atsa-labs
Labs developed for Applied Fisheries Time-series Analysis course. The link for the text is https://nwfsc-timeseries.github.io/atsa-labs/
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
causalML
A course on causal machine learning.
clinica
Software platform for clinical neuroimaging studies
darts
A python library for easy manipulation and forecasting of time series.
deep-learning-notes
Experiments with Deep Learning
deeplearning-models
A collection of various deep learning architectures, models, and tips
DeepModels
TensorFlow Implementation of state-of-the-art models since 2012
fimdbook
Flexible Imputation of Missing Data - bookdown source
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Image_Segmentation
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
lil-log
Lilian's Blog
MARSS
Multivariate Autoregressive State-Space Modeling with R
medgan
Generative adversarial network for generating electronic health records.
mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
mrf
An end to end, vendor neutral MRF package
mrf-reconstruction-media2020
Code for the Medical Image Analysis paper Balsiger et al., Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
practicalAI
📚 A practical approach to learning and using machine learning.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
Restricted-Boltzmann-Machine
Restricted Boltzmann Machine for collaborative filtering of movies.
RRest
Algorithms for estimation of respiratory rate from physiological signals
safs-timeseries
Repository for miscellaneous code and data used in FISH 507 (Applied Time Series Analysis) at University of Washington
stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis