《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Code release for ConvNeXt model

A Python package for fast and robust Image Stitching

A full Python implementation for real car surround view system

⚡ A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is …

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥

This is a collection of our zero-cost NAS and efficient vision applications.

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

A code generator from ONNX to PyTorch code

TFLite model analyzer & memory optimizer

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.

an unofficial facebook api

Raspberry Pi Python code for Kalman-filter Sensor Fusion with MPU-9250 or MPU-9265 sensor. I2C communication protocol forked from cityofeden's cosmic repo.

This code is for our ICML 2020 paper "On the Number of Linear Regions of Convolutional Neural Networks."

Read and process frames from usb-video-capture-device ,and transmit output using udp protocol to WLED to control LED strips

[ICONIP 2021] "Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions" by Tu Do, Ngoc Hoang Luong