model_zoo VS PINTO_model_zoo

Compare model_zoo vs PINTO_model_zoo and see what are their differences.

model_zoo

A repository of custom models specialized to various use cases. (by remyxai)

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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model_zoo PINTO_model_zoo
1 5
3 3,301
- -
7.6 9.7
9 months ago 7 days ago
Shell 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.

model_zoo

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

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.

What are some alternatives?

When comparing model_zoo and PINTO_model_zoo you can also consider the following projects:

video-inference - Example showing how to do inference on a video file with Roboflow Infer

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/

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

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

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

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

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

CREStereo - Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

sparsify - ML model optimization product to accelerate inference.

awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.