PINTO_model_zoo VS efficientnet-lite-keras

Compare PINTO_model_zoo vs efficientnet-lite-keras and see what are their differences.

PINTO_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML. (by PINTO0309)
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PINTO_model_zoo efficientnet-lite-keras
5 1
3,301 38
- -
9.7 0.0
6 days ago about 1 year 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.
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PINTO_model_zoo

Posts with mentions or reviews of PINTO_model_zoo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-26.

efficientnet-lite-keras

Posts with mentions or reviews of efficientnet-lite-keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-03.

What are some alternatives?

When comparing PINTO_model_zoo and efficientnet-lite-keras you can also consider the following projects:

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

ssd_keras - A Keras port of Single Shot MultiBox Detector

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

pytorch2keras - PyTorch to Keras model convertor

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

tpu - Reference models and tools for Cloud TPUs.

TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

nobuco - Pytorch to Keras/Tensorflow conversion made intuitive