Pinned Repositories
bam
captum
Model interpretability and understanding for PyTorch
category_encoders
A library of sklearn compatible categorical variable encoders
classification-cifar10-pytorch
Train several classical classification networks in cifar10 dataset by PyTorch
dfencoder
EHR2Vec
EHR2Vec is a embedding translation tool for medical entities based on attention mechanism. We have provided a version of tensorflow implement and it is constantly being provided.
fastai
The fastai deep learning library
fastai-category-encoders
Category encoders integrated with Fast.ai
featuretools
An open source python library for automated feature engineering
hello-world
Feihong-Xu's Repositories
Feihong-Xu/bam
Feihong-Xu/captum
Model interpretability and understanding for PyTorch
Feihong-Xu/category_encoders
A library of sklearn compatible categorical variable encoders
Feihong-Xu/classification-cifar10-pytorch
Train several classical classification networks in cifar10 dataset by PyTorch
Feihong-Xu/dfencoder
Feihong-Xu/EHR2Vec
EHR2Vec is a embedding translation tool for medical entities based on attention mechanism. We have provided a version of tensorflow implement and it is constantly being provided.
Feihong-Xu/fastai
The fastai deep learning library
Feihong-Xu/fastai-category-encoders
Category encoders integrated with Fast.ai
Feihong-Xu/featuretools
An open source python library for automated feature engineering
Feihong-Xu/hello-world
Feihong-Xu/Introduction-to-Map-Functions-in-R
Have you ever needed a function to be applied to multiple elements, such as datasets? Perhaps you want to run the same regression on different subsets of data. Or maybe you want to compare how different models perform against each other. Instead of copy and pasting your code repeatedly, `map()` functions can do this for you! In this workshop, we will review the structure and uses of lists. Then, we will discuss how map functions work with lists and how these functions can be used to streamline your workflow.
Feihong-Xu/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Feihong-Xu/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Feihong-Xu/personality-types
Feihong-Xu/physiognomy
All hail god of physiognomy! Long live the king of all pseudosciences!
Feihong-Xu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Feihong-Xu/word2vec_numpy
Word2Vec implementation using numpy