convnext

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

超清遥感图像的语义分割，内附类别不平衡损失为何失效

ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.

forex trading with reinforcement learning

provide some new architecture, channel pruning and quantization methods for yolov5

tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.

Paddle YOLOX, 51.8mAP on COCO val by YOLOX-x, 44.6mAP on YOLOX-s ConvNeXt

tensorflow network for time series

Generating Adversarial examples for ConvNeXt

Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.

This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.

using convnext as base model for face recognition

Export pytorch model to ONNX and convert ONNX from float32 to float 16

This project includes multiple models, loss functions, optimizers and image augmentations for image classification task

PyTorch implementation of "Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition"

New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).

Neural Networks ensemble via majority voting in order to classify ships given non-satellite images. All the models have been trained using PyTorch with pretrained weights.

Simple implementation of the ConvNext architecture in PyTorch

🌾🍀 An early crop disease discovery Deep Convolutional Neural Networks model using leaf symptom images.