python sphinx mix net cryptography
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Updated
Feb 28, 2017 - Python
python sphinx mix net cryptography
Extremely light-weight MixNet with Top-1 75.7% and 2.5M params
3rd place solution for NeurIPS 2019 MicroNet challenge
Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.
基于tf.keras的多标签多分类模型
Comparing YOLO and MixNet architectures for image-based human detection
tf-keras-implemented YOLOv2
tf-keras-implemented YOLOv3
EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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