Stars
🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
Pytorch implementation of Virtual Adversarial Training
Virtual Adversarial Training (VAT) implementation for PyTorch
A state-of-the-art semi-supervised method for image recognition
Temporal ensembling for semi-supervised learning
PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning
💿 Free software that works great, and also happens to be open-source Python.
A shadowsocks client for Android
A technical report on convolution arithmetic in the context of deep learning
TensorFlow-based neural network library
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
