LTC-SUM VS pytorch2keras

Compare LTC-SUM vs pytorch2keras and see what are their differences.

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LTC-SUM pytorch2keras
1 2
18 846
- -
3.2 0.0
10 months ago over 1 year ago
Python Python
- 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.

LTC-SUM

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

pytorch2keras

Posts with mentions or reviews of pytorch2keras. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing LTC-SUM and pytorch2keras you can also consider the following projects:

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

NudeNet - Neural Nets for Nudity Detection and Censoring

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

onnx-tensorflow - Tensorflow Backend for ONNX

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

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

keras-onnx - Convert tf.keras/Keras models to ONNX

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

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models