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Lyn's Projects

keras-self-attention icon keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

mat-vae icon mat-vae

A MATLAB implementation of Auto-Encoding Variational Bayes

micrograd icon micrograd

A tiny autograd engine and a neural net library on top of it, potentially for educational purposes

mlbop icon mlbop

Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).

models icon models

Models and examples built with TensorFlow

moe icon moe

A global, black box optimization engine for real world metric optimization.

nice_pytorch icon nice_pytorch

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

nrlpapers icon nrlpapers

Must-read papers on network representation learning (NRL)/network embedding (NE)

obfuscated-gradients icon obfuscated-gradients

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

oeh icon oeh

Ordinal Embedding Hashing

open_lth icon open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

optimal-lsh icon optimal-lsh

This package provides an efficient implementation of locality-sensitve hashing (LSH)

par_experiments icon par_experiments

Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))

pdua icon pdua

The Project of Our ICCV Paper

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

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