A Python and PyTorch developer, deep-learning worker and open-source activist.
Created by the awesome tool. 😊
- 📝 I regulary write articles on https://www.yuque.com/lart
- 💬 Ask me about Python, PyTorch in ISSUES
- ⚡ Fun fact I am a boy.
- 位翻转排列 (Bit-Reversal Permutation) 解析 - 2026-02-24: 位翻转排列是一种将数据索引的二进制位完全倒置的重排操作,本质上是分治算法在底层数据划分上的投影。该技术广泛应用于快速傅里叶变换(FFT)等算法中,通过内存重排实...
- Monarch矩阵:从设计直觉到数学推导与实际应用 - 2026-02-24: Monarch矩阵是一种高效的矩阵参数化方法,旨在解决大模型中的计算和内存瓶颈。它结合块对角矩阵与排列操作,在保持硬件友好性的同时实现全局特征融合。Monarc...
- 从独立性、相关性到复杂动力系统 - 2026-02-23: 本文系统探讨了数据相关性分析的四个认知层级:线性相关(皮尔逊系数)捕捉严格比例关系,广义相关(斯皮尔曼系数)识别单调趋势,独立性检验(距离相关系数)判断变量是否...
- PyTorch 的统计三剑客:bucketize, bincount 与 histogram - 2026-01-13: 本文解析了PyTorch中三个易混淆的函数:torch.bucketize、torch.bincount和torch.histogram。bucketize用于...
- Welford 算法 | 优雅地计算海量数据的均值与方差 - 2025-12-23: 本文介绍了Welford在线算法,这是一种高效计算大数据集统计量的方法。针对内存不足时处理大规模数据的问题,文章对比了传统方差计算方法的缺陷(内存占用大、数值稳...
- 带噪学习 | Ambient Diffusion (NeurIPS 2023)下篇 - 2025-12-17: 本文介绍了Ambient Diffusion模型的采样过程,重点阐述了基于Tweedie公式的分数函数推导。通过分析前向过程的线性高斯特性,证明了分数函数$\n...
- 带噪学习 | Ambient Diffusion (NeurIPS 2023) 上篇 - 2025-12-17: Ambient Diffusion能够在仅使用高度损坏样本(如缺失90%像素的图像)的情况下学习干净数据的分布。核心创新是在扩散过程中引入额外测量失真,迫使模型...
- 数据增强在小型卷积神经网络中的有效性探究 - 2025-12-14: 深度学习模型性能提升中,数据增强并非总是有效。研究发现增强效果取决于模型架构、参数量和卷积类型。
- 神经网络 | 从线性结构到可学习非线性 - 2025-12-08: CNN、Transformer、ONN(Operational Neural Network)和KAN
- 储层计算 (Reservoir Computing) 概述 - 2025-12-06: 储层计算(RC)通过固定非线性储层与可训练线性读出的解耦设计,克服了传统递归神经网络训练中的梯度问题。其核心在于利用高维动力系统将输入信号映射到线性可分空间,仅...
View the archives @ csdn@p_lart.
| Name | Stars | Description |
|---|---|---|
| Hands-on-Docker (中文) | 一份详尽的 Docker 使用指南。 | |
| Awesome-Class-Activation-Map | An awesome list of papers and tools about the class activation map (CAM) technology. | |
| PyTorchTricks | Some tricks of pytorch… | |
| MethodsCmp | A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods. | |
| PySODEvalToolkit | A Python-based salient object detection and video object segmentation evaluation toolbox. | |
| PySODMetrics | A simple and efficient implementation of SOD metrcis. | |
| PyLoss | Some loss functions for deeplearning. | |
| OpticalFlowBasedVOS | A simple and efficient codebase for the optical flow based video object segmentation. | |
| CoSaliencyProj | A project for co-saliency detection. Some codes are borrowed from ICNet. Thanks to ICNet Intra-saliency Correlation Network for Co-Saliency Detection (NIPS2020) | |
| RunIt | A simple program scheduler for your code on different devices. | |
| RegisterIt | Register it: A more flexible register for the DeepLearning project. | |
| mssim.pytorch | A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM. | |
| tta.pytorch | Test-Time Augmentation library for Pytorch. | |
| YuQueTools | A simple tool to download your own articles from yuque. | |
| ManageMyAttachments | Manage the attachments of your own obsidian vault. |
| Name | Description |
|---|---|
| lartpang/OVCamo | Open-Vocabulary Camouflaged Object Segmentation |
| yooweey/AugmentedIRSTD1kTestset | Augmented Testset of the IRSTD-1k dataset |




