In this tutorial you will learn how to train a custom deep learning model to perform object detection via bounding box regression with Keras and TensorFlow.

Want to prepare for technical interviews? These GitHub Repositories will help you! 🤩 🧵👇

Contribute to flipkart-incubator/dsp development by creating an account on GitHub.

Harvard CS109b Public Repository. Contribute to cs109/2018-cs109b development by creating an account on GitHub.

Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.

O’Reilly usage analysis shows continued growth in AI/ML and early signs that organizations are experimenting with advanced tools and methods.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection." - xuebinqin/U-2-Net

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch] - gasparian/multiclass-semantic-segmentation

Contribute to google-research/multilingual-t5 development by creating an account on GitHub.

We reached out to further members of the AI community for their recommendations of papers which everyone should be reading! All of the cited papers are free to access and cover a range of topics from some incredible minds.