SparK VS PixelLib

Compare SparK vs PixelLib and see what are their differences.

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SparK PixelLib
3 3
1,388 1,016
- -
7.3 0.0
3 months ago 7 months ago
Python 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.

SparK

Posts with mentions or reviews of SparK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-17.

PixelLib

Posts with mentions or reviews of PixelLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

What are some alternatives?

When comparing SparK and PixelLib you can also consider the following projects:

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images

PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.