Pinned Repositories
AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
docker-ganesha
Ganesha NFS Docker image
docker-rclone
Rclone Docker image
ffhevc
Mirror of https://ffhevc.sourceforge.io
ffx264
Mirror of https://ffx264.sourceforge.io
ffxvid
Mirror of https://ffxvid.sourceforge.io
nhcalc
Compute NeuralHash for the given image
python-best-practices-cookiecutter
Python best practices project cookiecutter 🍪
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
Squishy Solutions's Repositories
squishy-solutions/docker-ganesha
Ganesha NFS Docker image
squishy-solutions/AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
squishy-solutions/docker-rclone
Rclone Docker image
squishy-solutions/ffhevc
Mirror of https://ffhevc.sourceforge.io
squishy-solutions/ffx264
Mirror of https://ffx264.sourceforge.io
squishy-solutions/ffxvid
Mirror of https://ffxvid.sourceforge.io
squishy-solutions/nhcalc
Compute NeuralHash for the given image
squishy-solutions/python-best-practices-cookiecutter
Python best practices project cookiecutter 🍪
squishy-solutions/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.