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awesome AI models with NCNN, and how they were converted ✨✨✨
Contains Company Wise Questions sorted based on Frequency and all time
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
python Siemens plc communication using snap 7
HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Person Re-ranking (CVPR 2017)
Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
📚 A collection of edge/contour/boundary detection papers and toolbox.
A pytorch dataset sampler for always sampling balanced batches.
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Pytorch implementation of "ICCV2019-Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization"
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.