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Isshiki修's Notebook
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💠 封面
📚 技术积累
🗒 课程笔记
🥎 科研积累
📝 论文阅读
📦 杂项专题
🚧 施工中...
Isshiki修's Notebook
IsshikiHugh/notebook
💠 封面
💠 封面
💬 交流
📚 技术积累
📚 技术积累
常用工具
常用工具
Shell
Git Something
Git Something
Git Workflow
Git Commands
🔗 A Fast Intro to Git Internals
🔗 .git 目录里到底包含了什么？
MinIO
MinIO
🔗 Website
🔗 Docs
🔗 Notes of MinIO x Golang
Docker
Docker
🔗 Docker build with Mac M1
makefile
makefile
🔗 What is a Makefile and how does it work?
🔗 makefile 介绍
Google Colaboratory
编程语言
编程语言
C++
C++
[pre] 前置与杂项
标准 | 格式 | 规范
标准 | 格式 | 规范
BVH 格式详解
👉 OAuth
🔗 MIME
人工智能
人工智能
PyTorch
Hydra
Hydra
Pytorch Lighting
Pytorch Lighting
🔗 官方文档
🔗 PyTorch Lightning 入坑心得
🗒 课程笔记
🗒 课程笔记
🔮 C小程 琐碎知识点整理
💎 概率论与数理统计
💎 概率论与数理统计
[1.x] 概率论的基本概念
[2.x] 随机变量及其概率分布
[3.x] 多元随机变量及其分布
[4.x] 随机变量的数字特征
[5.x] 大数定律及中心极限定理
[6.x] 统计量与抽样分布
[7.x] 参数估计
[8.x] 假设检验
🔮 Deep Learning for Computer Vision | CS231N
🔮 计算机系统概论 | Introduction to Computing Systems
💎 数字逻辑设计 | Digital Design
💎 数字逻辑设计 | Digital Design
Chap 1 Digital Systems and Information
Chap 2 Combinational Logic Circuits
Chap 3 Combinational Logic Design
Chap 4 Sequential Circuits
Chap 5 Digital Hardware Implementation
Chap 6 Registers & Register Transfers
Chap 7 Memory Basics
💎 计算机视觉导论 | I2CV
💎 计算机视觉导论 | I2CV
Lecture 1 | Introduction
Lecture 2 | Image Formation
Lecture 3 | Image Processing
Lecture 4 | Model Fitting and Optimization
Lecture 5 | Feature Matching and Motion Estimation
Lecture 6 | Image Alignment and Stitching
Lecture 7 | Structure From Motion
Lecture 8 | Depth Estimation & 3D Reconstruction
Lecture 9 | Deep Learning
Lecture 10 | Recognition
Lecture 11 | 3D Deep Learning
Lecture 12 | Computational Photography 1
Lecture 13 | Computational Photography 2
🔮 科学文章写作 | Writing in the Sciences
🔮 计算机组成 | Computer Organization
🔮 计算机组成 | Computer Organization
💎 高级数据结构 | Advanced Data Structure
💎 高级数据结构 | Advanced Data Structure
Lecture 1 | AVL Trees & Splay Trees
Lecture 2 | Red Black Tree & B+ Tree
Lecture 3 | Inverted File Index
Lecture 4 | Leftist Heap & Skew Heap
Lecture 5 | Binomial Queue
Lecture 6 | Backtracing
Lecture 7 | Divide & Conquer
Lecture 8 | Dynamic Programming
Lecture 9 | Greedy Algorithms
Lecture 10 | NP Completeness
Lecture 11 | Approximation
Lecture 12 | Local Search
Lecture 13 | Randomized Algorithms
Lecture 14 | Parallel
Lecture 15 | External Sorting
Topic 1 | Amortized Analysis
💎 操作系统 | Operating System
💎 操作系统 | Operating System
Unit 0: 总览 | Overview
Unit 1: 进程管理 | Process Management
Unit 2 同步 | Synchronization
Unit 2 同步 | Synchronization
U2 Part 1: 同步工具 | Synchronization Tools
U2 Part 2: 同步问题例子 | Synchronization Problems Examples
U2 Part 3: 死锁 | Deadlocks
Unit 3 内存 | Memory
Unit 3 内存 | Memory
U3 Part 1: 内存设计 | Memory Design
U3 Part 2: 内存管理 | Memory Management
Unit 4: 输入/输出 | I/O
Unit 5: 存储 | Storage
Unit 6: 文件系统 | File System
🔮 计算机网络 | Computer Network
🔮 计算机网络 | Computer Network
🔮 计算理论 | Theorem of Computing
🔮 计算理论 | Theorem of Computing
🔗 xg 的 toc 笔记
🥎 科研积累
🥎 科研积累
Body Models
Talks
Talks
📝 论文阅读
📝 论文阅读
资源
资源
🔗 Annotated Deep Learning Paper Implementations
[NeRF] Representing Scenes as Neural Radiance Fields for View Synthesis
[ACTOR] Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
[NSM] Neural State Machine for Character-Scene Interactions
[SAMP] Stochastic Scene-Aware Motion Prediction
[EG3D] Efficient Geometry-aware 3D Generative Adversarial Networks
[SA-HMR] Learning Human Mesh Recovery in 3D Scenes
[TRACE] 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
[SMPLify] Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
[SMPLX] Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
[HuMoR] 3D Human Motion Model for Robust Pose Estimation
[SLAHMR] Decoupling Human and Camera Motion from Videos in the Wild
[WHAM] Reconstructing World-grounded Humans with Accurate 3D Motion
ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation
📦 杂项专题
📦 杂项专题
工具收集
使用 reveal-md 来写 Slides
2024 暑研记录
杂文收集
杂文收集
🔗 OpenGL 101: Matrices-projection/view/model
🔗 全面解读 Group Normalization
🔗 WebGL 加载 .obj 文件
🚧 施工中...
🚧 施工中...
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