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An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
image scene graph generation benchmark
[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"
Unofficial guide to PostGraduate Research Students in XJTLU
Everything about note management. All in Zotero.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A paper list of object detection using deep learning.
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🙄 Difficult algorithm, Simple code.
Minimal PyTorch implementation of YOLOv3
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Tips for Writing a Research Paper using LaTeX
Four landmark detection algorithms, implemented in PyTorch.
Richer Convolutional Features for Edge Detection
遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等常用智能算法的MATLAB实现
Matlab implementation of Machine Learning algorithms