ModelZoo.pytorch
mmpretrain
| ModelZoo.pytorch | mmpretrain | |
|---|---|---|
| 1 | 2 | |
| 48 | 3,171 | |
| - | 2.1% | |
| 0.0 | 7.8 | |
| over 3 years ago | 11 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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ModelZoo.pytorch
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[D] Any good resources/repositories to get ImageNet trained models?
Google for 'model zoo' and the terms you want. Here's one that comes up with label smoothing: https://github.com/PistonY/ModelZoo.pytorch
mmpretrain
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMClassification: OpenMMLab image classification toolbox and benchmark.
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how to recognize digits from this pics(i have many of them) so kindly suggest generic that can work for other similar images. I have searched alot for the source code on github but not found the correct solution. most of these solutions were incorrect while other were incomplete. Kindly help me :(
MMClassification or TIMM would be good starting points for training a classification model.
What are some alternatives?
simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
pytorch2keras - PyTorch to Keras model convertor
senet.pytorch - PyTorch implementation of SENet
models - Models and examples built with TensorFlow
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
MEAL-V2 - MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
mmdeploy - OpenMMLab Model Deployment Framework