linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

本科华五，曾赴美qs50读博，某兄弟院校副教授，校园门卫亭女性主理人，为防止炸号的备份平台，是本人。

A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention

Reverse Convolution and Its Applications to Image Restoration (ICCV, 2025)

讨贼王云鹤檄文

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Denoising Masked Autoencoders Help Robust Classification.

计算机视觉 北京邮电大学 鲁鹏 课件与学习笔记

[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.

"Deep Generative Modeling": Introductory Examples

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

[CVPR 2025 Oral & Best Paper Finalist] Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models

kaggle-google-contrails-competitions

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

清华大学 邓俊辉 数据结构 C++版本 第三版 教材配套代码整理

Code for our Siggraph 24 Paper Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes

EPFL Course - Optimization for Machine Learning - CS-439

Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024

Machine Learning and Agentic AI Resources, Practice and Research

Train transformer language models with reinforcement learning.

Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

Official python implementation for ICML 2024: "Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem"

[NeurIPS'23] Hierarchical Integration Diffusion Model for Realistic Image Deblurring

[NeurIPS'22] Cross Aggregation Transformer for Image Restoration

[ICCV'23] Dual Aggregation Transformer for Image Super-Resolution