big-sleep-examples VS mmpretrain

Compare big-sleep-examples vs mmpretrain and see what are their differences.

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big-sleep-examples mmpretrain
1 2
1 3,156
- 4.1%
1.8 7.8
about 2 years ago 6 days ago
Python Python
MIT License 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.

big-sleep-examples

Posts with mentions or reviews of big-sleep-examples. We have used some of these posts to build our list of alternatives and similar projects.

mmpretrain

Posts with mentions or reviews of mmpretrain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

What are some alternatives?

When comparing big-sleep-examples and mmpretrain you can also consider the following projects:

MaixPy-v1_scripts - micropython scripts for MaixPy

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

senet.pytorch - PyTorch implementation of SENet

AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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

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

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision