Stars
Probabilistic reasoning and statistical analysis in TensorFlow
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
A Tensorflow implementation of the DETR object detection architecture.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Using keras 2.2.0 to experiment "Knowledge Distrilling"
🙄 Difficult algorithm, Simple code.
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking