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apple/ml-cvnets Alternatives

2.0kPythonNOASSERTIONactive · last push 26d agoGitHub

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These projects were analysed and named ml-cvnets among their alternatives. The relationship is not symmetric — how ml-cvnets rates them is a separate judgement, made when ml-cvnets is analysed in its own right.

open-mmlab/mmdetectionGitHub

calls ml-cvnets “General CV training library including detection, choose for multi-task needs.”

OpenMMLab Detection Toolbox and Benchmark

32.9kPythondormant
WZMIAOMIAO/deep-learning-for-image-processingGitHub

calls ml-cvnets “Use when you want a full-featured CV training library with many models instead of a tutorial-backed code walkthrough.”

deep learning for image processing including classification and object-detection etc.

26.4kPythonslowing
lucidrains/vit-pytorchGitHub

calls ml-cvnets “Apple's CV training library; choose it when you prefer a self-contained library with efficient model implementations and quantization.”

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

25.5kPythonactive
PaddlePaddle/PaddleDetectionGitHub

calls ml-cvnets “General mobile-friendly CV training library that includes detection — choose for a broader CV training abstraction.”

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

14.4kPythonactive
huggingface/pytorch-image-modelsGitHub

calls ml-cvnets “Apple's config-driven CV training library; choose for its integrated pipelines, but stale and less focused than timm.”

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

37.2kPythonactive
microsoft/Swin-TransformerGitHub

calls ml-cvnets “Choose it only if you need Apple's mobile-oriented training pipeline for many CV backbones; it is stale and not a maintained drop-in.”

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

16.1kPythondormant
NVIDIA/DeepLearningExamplesGitHub

calls ml-cvnets “choose for Apple's CV training library if you want a different framework, but it is stale and narrower.”

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

14.8kJupyter Notebookdormant