yalechang

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/

computer_vision

COPDGene

Code for the COPDGene project(http://www.copdgene.org/)

fast_rgf

Multi-core implementation of Regularized Greedy Forest

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

MCVC

ICML 2017: Multiple Clustering Views from Multiple Uncertain Experts

multiview

sampling

Implementation of various Sampling Algorithms for Bayesian Inference

symnmf

yalechang.github.io

Homepage

yalechang/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/

yalechang/imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

yalechang/MCVC

ICML 2017: Multiple Clustering Views from Multiple Uncertain Experts

yalechang/yalechang.github.io

Homepage

yalechang/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

yalechang/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

yalechang/deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

yalechang/Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

yalechang/dilation

Dilated Convolution for Semantic Image Segmentation

yalechang/drn

Dilated Residual Networks

yalechang/fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

yalechang/fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

yalechang/gradient-checkpointing

Make huge neural nets fit in memory

yalechang/markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

yalechang/MGP-RNN

A TensorFlow implementation of "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier", ICML 2017.

yalechang/mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

yalechang/NCRFpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

yalechang/neural_decomposition

Neaural Decomposition (ND)

yalechang/neural_decomposition-1

Neural Decomposition Code for Time Series

yalechang/nips_assignments

C++ code to help assign papers to reviewers, area chairs, etc in conferences like NIPS.

yalechang/nmtpytorch

Neural Machine Translation Framework in PyTorch

yalechang/obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

yalechang/physionet_2022_3rd

yalechang/poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

yalechang/probability

Probabilistic reasoning and statistical analysis in TensorFlow

yalechang/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

yalechang/pyslds

yalechang/PyTorch-NLP

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

yalechang/siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

yalechang/TCN

Sequence modeling benchmarks and temporal convolutional networks