Popular GitHub Repositories for Convnext

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Pre-training Toolbox and Benchmark

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ?????

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep 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

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

A lightweight end-to-end text-to-speech model

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

forex trading with reinforcement learning

? Face Recognition using Convnext model + Flask

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

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

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

A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.

Generating Adversarial examples for ConvNeXt

Notebooks of pre trained models using the HAM10000 dataset

Links to my repositories with a wide variety of Computer Vision models using CNNs, Transfer Learning, and Vision Transformer with TensorFlow, PyTorch, Hugging Face and Ultralytics.

A repository for making an aesthetic prediction model based on the ConvneXt architecture.

An (admittedly amature) attempt to combine the strength of CNNs for sequence prediction though PACING - Patched bAsed ConvolutIoNal Generators