DeepPoseKit VS cvnn

Compare DeepPoseKit vs cvnn and see what are their differences.

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DeepPoseKit cvnn
5 1
379 141
- -
0.0 2.3
almost 2 years ago 16 days ago
Python Python
Apache License 2.0 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.

DeepPoseKit

Posts with mentions or reviews of DeepPoseKit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-15.

cvnn

Posts with mentions or reviews of cvnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-18.

What are some alternatives?

When comparing DeepPoseKit and cvnn you can also consider the following projects:

DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

tensorflow - An Open Source Machine Learning Framework for Everyone

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

Keras - Deep Learning for humans

PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

rootsMapPython - Fractals made from complex roots of all possible polynomials of certain degree (12 - 24) and small set of complex coefficients (2 or 3), littlewood polynomials included

reformer-pytorch - Reformer, the efficient Transformer, in Pytorch

Algorithmic-Video-Suggestion-LIB - Algorithmic Video Suggestion LIB is a software tool that suggests videos to users based on their past viewing habits and preferences. It uses advanced technology to analyze the user's viewing data and make smart predictions about what videos they would like to watch next.

RSCalibration - Docs and scripts to estimate a camera's rolling shutter readout time

TensorFI - TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.

pycopent - Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification