✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

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

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

🌮 Trash Annotations in Context Dataset Toolkit

Detect fire in images using neural nets

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Provides everything needed for high performance data loading and augmentation in pytorch.

an numpy-based implement of PointRend

To make it easy to benchmark AI accelerators

Python ML library for people fall detection

Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K

Colab Version for LaneNet