Maschinelles Lernen · GitHub

A physics-informed neural network for battery SOH estimation

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.

A PyTorch implementation of the architecture of Mask RCNN

算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。

Image Segmentation and Object Detection in Pytorch

Image Segmentation framework based on Tensorflow and TF-Slim library

A high-level toolbox for using complex valued neural networks in PyTorch

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Prophecis is a one-stop cloud native machine learning platform.

Neural Network proposal for WASI

🧠 Web Neural Network API

Python Package for Airborne RGB machine learning

Papers about graph transformers.

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

A curated (most recent) list of resources for Learning with Noisy Labels

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.