gen-efficientnet-pytorch VS MEAL-V2

Compare gen-efficientnet-pytorch vs MEAL-V2 and see what are their differences.

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS (by rwightman)

MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop. (by szq0214)
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gen-efficientnet-pytorch MEAL-V2
2 1
1,559 684
- -
10.0 1.8
almost 2 years ago over 2 years ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gen-efficientnet-pytorch

Posts with mentions or reviews of gen-efficientnet-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-25.

MEAL-V2

Posts with mentions or reviews of MEAL-V2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-26.

What are some alternatives?

When comparing gen-efficientnet-pytorch and MEAL-V2 you can also consider the following projects:

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more [Moved to: https://github.com/huggingface/pytorch-image-models]

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 - Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

multi-subject-render - Generate multiple complex subjects all at once!

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

ModelZoo.pytorch - Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

S2-BNN - S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)