QualcommAI-MicroNet-submission-EfficientNet

100 Days of ML Coding

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

Google Brain AutoML

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

? Collection of Kaggle Solutions and Ideas ?

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。