🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Tutorials for creating and using ONNX models

A small package to create visualizations of PyTorch execution graphs

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.