SeqNet
[AAAI 2021] Sequential End-to-end Network for Efficient Person Search (by serend1p1ty)
maed
[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation (by ziniuwan)
| SeqNet | maed | |
|---|---|---|
| 1 | 1 | |
| 231 | 201 | |
| - | - | |
| 3.3 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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.
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.
SeqNet
Posts with mentions or reviews of SeqNet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-01.
-
An elegant and strong PyTorch Trainer
I opened source some works (AAAI 21 SeqNet, ICCV 21 MAED, etc) and earned more than 500 stars. After referring to some popular projects (detectron2, pytorch-image-models, and mmcv), based on my personal development experience, I developed a SIMPLE enough, GENERIC enough, and STRONG enough PyTorch Trainer: core-pytorch-utils, also named CPU. CPU covers most details in the process of training a deep neural network, including:
maed
Posts with mentions or reviews of maed.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-01.
-
An elegant and strong PyTorch Trainer
I opened source some works (AAAI 21 SeqNet, ICCV 21 MAED, etc) and earned more than 500 stars. After referring to some popular projects (detectron2, pytorch-image-models, and mmcv), based on my personal development experience, I developed a SIMPLE enough, GENERIC enough, and STRONG enough PyTorch Trainer: core-pytorch-utils, also named CPU. CPU covers most details in the process of training a deep neural network, including:
What are some alternatives?
When comparing SeqNet and maed you can also consider the following projects:
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
core-pytorch-utils - Yet another PyTorch Trainer and some core components for deep learning.
mmcv - OpenMMLab Computer Vision Foundation
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.