The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A High-Quality Real Time Upscaler for Anime Video

wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译

Code for Tensorflow Machine Learning Cookbook

Reference models and tools for Cloud TPUs.

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

[ICCV 2019] Monocular depth estimation from a single image

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Code for the Lovász-Softmax loss (CVPR 2018)

Keras implementation of Deeplab v3+ with pretrained weights

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

code and model of Pyramid Feature Selective Network for Saliency detection

[CVPR 2021] Monocular depth estimation using wavelets for efficiency

One-Shot Video Object Segmentation

Mish Deep Learning Activation Function for PyTorch / FastAI

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Clockwork Convnets for Video Semantic Segmenation

Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"