ngmzud's starred repositories

image_classification_sota

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.

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imagenet-japanese-labels

ImageNet日本語ラベル

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keras-image-models

A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

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natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

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tinygrad-image-models

tinygrad image models, inference, and (soon) training

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DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

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FoodCalorieEstimation

Food calorie estimation integrated with ImageNet and google generative AI with flask API and Basic Frontend using Tailwind

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CarsBrands_Inceptionv3

Project that detects the brand of a car, between 1 and 49 brands, that appears in a photograph, with a success rate of more than 70% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer

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Simba

A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"

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UniteandConquer

[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

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event_representation_study

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

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efficientnet-pytorch

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

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openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

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easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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custom_imagenet-1k_models

Models with variable output classes designed for Imagenet-1k.

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A2MIM

[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

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InfoMatch

IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification

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WhatsThere

Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API

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torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

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equivision

ImageNet1k-pretrained SE(2) Equivariant Vision Models

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ImageNetSubmission

This is a simple example of how to prepare an ImageNet submission to the evaluation server.

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VGG16-Image-Reverse-Engine

An Image Reverse Engine based on VGG16

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one-pixel-attack-keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

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patchmix

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

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aps

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

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keras_cv_attention_models

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

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PlantDiseaseDetection

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future

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Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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Rectlabel-support

RectLabel is an offline image annotation tool for object detection and segmentation.

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