Yale Chang's repositories
adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
yalechang.github.io
Homepage
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
fairseq-py
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
gradient-checkpointing
Make huge neural nets fit in memory
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
neural_decomposition
Neaural Decomposition (ND)
neural_decomposition-1
Neural Decomposition Code for Time Series
nips_assignments
C++ code to help assign papers to reviewers, area chairs, etc in conferences like NIPS.
nmtpytorch
Neural Machine Translation Framework in PyTorch
obfuscated-gradients
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
probability
Probabilistic reasoning and statistical analysis in TensorFlow
PyTorch-NLP
Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch