ryanchankh

cifar100coarse

Build PyTorch CIFAR100 using coarse labels

L0L1L4NormSn

Analysis of L0, L1 and L4 Norm in S1

l4_dictionary_learning

Experiments on L4-based Dictionary Learning

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

power_iteration

Implementation of Different Power Iteration Methods

redunet

Official PyTorch Implementation of Deep Networks from the Principle of Rate Reduction (2021)

redunet_demo

redunet_paper

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

style_transfer

Implementation of Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. 2016. “Image Style Transfer Using Convolutional Neural Networks.”

VariationalInformationPursuit

Official Implementation for Variational Information Pursuit for Interpretable Predictions (ICLR 2023)

ryanchankh/mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

ryanchankh/redunet_demo

ryanchankh/redunet_paper

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

ryanchankh/cifar100coarse

Build PyTorch CIFAR100 using coarse labels

ryanchankh/redunet

Official PyTorch Implementation of Deep Networks from the Principle of Rate Reduction (2021)

ryanchankh/style_transfer

Implementation of Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. 2016. “Image Style Transfer Using Convolutional Neural Networks.”

ryanchankh/VariationalInformationPursuit

Official Implementation for Variational Information Pursuit for Interpretable Predictions (ICLR 2023)

ryanchankh/LDR

The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.".

ryanchankh/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

ryanchankh/SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

ryanchankh/vision-transformers-cifar10

Let's train vision transformers (ViT) for cifar 10!

ryanchankh/barks

A simple, minimalistic theme for Hugo.

ryanchankh/captum

Model interpretability and understanding for PyTorch

ryanchankh/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

ryanchankh/dgm23_GPT

A minimal and efficient Pytorch implementation of OpenAI's GPT (Generative Pretrained Transformer).

ryanchankh/FT-CLIP

CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

ryanchankh/GraphVQA

GraphVQA: Language-Guided Graph Neural Networks for Scene Graph Question Answering

ryanchankh/INVASE

Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

ryanchankh/ip-omp

ryanchankh/ISONet

Deep Isometric Learning for Visual Recognition (ICML 2020)

ryanchankh/ISTA-Net-PyTorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

ryanchankh/latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

ryanchankh/neuron-descriptions

Natural Language Descriptions of Deep Visual Features, ICLR 2022

ryanchankh/pytorch-cifar

95.47% on CIFAR10 with PyTorch

ryanchankh/ryanchankh.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

ryanchankh/ryanchankh.github.io_archive

Personal Website

ryanchankh/SparseScatNet

Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning

ryanchankh/STAM-Sequential-Transformers-Attention-Model

Official implementation of "Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes" [CVPR'22]

ryanchankh/unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

ryanchankh/ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"