ryanchankh Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

arcface-tf2

:fire: ArcFace unofficial Implemented in Tensorflow 2.0 (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. :trollface:

barks

A simple, minimalistic theme for Hugo.

captum

Model interpretability and understanding for PyTorch

cifar100coarse

Build PyTorch CIFAR100 using coarse labels

clip

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

compression

Data compression in TensorFlow

dataset_analyzer

Basic Statistical Data Analyzer

dataset_downloader

Scripts to download datasets and Convert to Numpy

dgm23_gpt

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

dotfiles

SSH server configurations

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

graphvqa

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

invase

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

ip-omp

isonet

Deep Isometric Learning for Visual Recognition (ICML 2020)

ista-net-pytorch

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

l0l1l4normsn

Analysis of L0, L1 and L4 Norm in S1

l4_dictionary_learning

Experiments on L4-based Dictionary Learning

latent_ode

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

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.".

mae

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

mcr2

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

neuron-descriptions

Natural Language Descriptions of Deep Visual Features, ICLR 2022

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

power_iteration

Implementation of Different Power Iteration Methods

pytorch-cifar

95.47% on CIFAR10 with PyTorch

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)