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Accelerated C++
Slam book
CS229 Machine Learning
CS231n Convolutional Neural Networks for Visual Recognition
EE357 Computer Networks
CS224n Natural Language Processing with Deep Learning
CS228 Probabilistic Graphical Models
EE364A Convex Optimization
MIT6.824 Distributed Systems
MIT6.828 Operating systems
Additive Combinatorics
Real Analysis
GAMES101 Fundamentals of Computer Graphics
GAMES103 Intro to Physics-Based Animation
GAMES104 Modern Game Engine
GAMES201 Taichi-Physics Engines
GAMES202 Real-Time High Quality Rendering
Intersection Theory
Projects
Unreal Engine 4
Houdini
cuda
cesium
LeetCode Record
OpenGL
ROS notes
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Yesterday Once More!
2023
3-25
Lecture 5 Lighting, Materials and Shaders
3-24
Lecture 4 Rendering on Game Engine
3-23
Lecture 3 Build a Game World
3-22
Lecture 2 Layered Architecture of Game Engine
2-21
Lecture 1 Overview of Game Engine
1-30
CUDA 性能优化指北(三)- Maximize Memory Throughput
1-29
CUDA 性能优化指北(二)- Maximize Utilization
1-28
CUDA 性能优化指北(一)- 概述
1-1
CUDA 性能优化指北(四)- Maximize Instruction Throughput
2022
12-19
Houdini基础学习笔记-2
12-19
Houdini基础学习笔记-3
10-24
Lecture 12 Deformable Simulation 02|The Implicit Integration Methods
10-19
Houdini基础学习笔记-1
10-19
UE4 人物AI
10-18
UE4 人物碰撞判定
10-16
UE4 制作动画蒙太奇
10-15
UE4动画的声音,特效与三连击
10-15
UE4 角色动画制作与绑定
9-28
Intersection theory-VIII
9-26
Intersection theory-VII
9-26
Intersection theory-VI
9-25
Lecture 11 Deformable Simulation 01|Spatial and Temporal Discretization
9-25
Intersection theory-V
9-24
Lecture 10 Ray Tracing 2
9-24
Intersection theory-IV
9-23
Intersection theory-III
9-22
Intersection theory-II
9-21
Intersection theory-I
8-27
CUDA 之 CTA (Cooperative Thread Arrays)
8-26
CUDA 之 Launch Bounds
8-25
moderngpu 简介
8-24
CUDA 编程(十六)- 硬件实现
8-21
CUDA 编程(十五)- 计算模式与切换
8-20
CUDA 编程(十四)- 版本与兼容性
8-19
CUDA 编程(十三)- CUDA User Objects
7-24
Lecture 9 Ray Tracing
7-24
CUDA 编程(十二)- Texture and Surface Memory
7-23
CUDA 编程(十一)- 统一虚拟地址空间、跨进程通信、错误检测和调用栈
7-22
CUDA 编程(十)- Multi-Device System
7-21
CUDA 编程(九)- CUDA Graphs 和 Events
7-20
CUDA 编程(八)- 异步并发执行
7-19
CUDA 编程(七)- 锁页内存
7-18
CUDA 编程(六)- 分布式共享内存
7-14
CUDA 编程(五)- 共享内存
7-4
CUDA 编程(四)- CUDA Runtime 和 L2 Cache
7-2
CUDA 编程(三)- 编程接口
6-25
Lecture 07 Sparse Matrix, Debugging and Code Optimization
6-24
Lecture 05 Poisson’s Equation and Fast Method
6-24
Lecture 06 Advanced Data Layout
6-22
CUDA 编程(二)- CUDA编程模型
6-1
CUDA 编程(一)- CUDA基础
5-24
Lecture 03 Lagrangian View (2)
4-23
Lecture 02 Lagrangian View
4-21
Lecture 01 Introduction
1-4
Houdini基础学习笔记-7
1-4
Houdini基础学习笔记-4
1-4
Houdini基础学习笔记-5
1-4
Houdini基础学习笔记-8
1-4
Houdini基础学习笔记-6
2021
12-29
实时光线追踪
12-25
Non-Photorealistic Rendeirng (NPR)
11-25
Lecture 12 SPH and Position-Based Fluids
11-24
Lecture 11 Eulerian Fluids
11-22
实时环境光照
11-14
Lecture 10 Surface Waves
10-30
Lecture 9 几何 Collision Handling
10-29
Lecture 08 Linear Finite Element Method II
10-27
Lecture 06 Constraint Approaches
10-26
Lecture 04 Rigid Body Contacts
10-25
Lecture 03 Rigid Body Dynamics
10-22
Lecture 02 Math Background
10-21
Lecture 01 Introduction
10-2
Lecture 07 Linear Finite Element Method (FEM)
9-21
实时全局光照
8-30
Convex Optimization-12
8-30
关于KKT条件与对偶理论
8-29
Convex Optimization-11
8-28
Convex Optimization-10
8-27
Convex Optimization-9
8-26
Convex Optimization-8
8-25
Convex Optimization-7
8-24
Convex Optimization-6
8-23
Convex Optimization-5
8-22
Convex Optimization-4
8-3
MIT 6.824 分布式系统课程- 实现Raft Lab3 K/V Server(Part B)
7-30
MIT 6.824 分布式系统课程- 实现Raft Lab3 K/V Server(Part A)
7-22
Convex Optimization-3
7-22
MIT 6.824 分布式系统课程- 实现Raft Lab2A
6-24
Lecture 12 材质和外观 Materials and Appearances
6-24
Lecture 11 Ray Tracing 光线追踪
6-24
Lecture 12 光的传播理论, Basic Radiometry 辐射度量学, 路径追踪与全局光照
6-24
Lecture 06 反走样、抗锯齿
6-24
Lecture 07 深度测试、着色
6-24
Lecture 13
6-24
Lecture 08 布林-冯反射模型、图形管线、纹理映射
6-24
Lecture 10 几何 Geometry 隐式与显式 曲线与曲面
6-24
Lecture 09 重心坐标、应用纹理&Mipmap
6-24
Lecture 13 Fluid Simulation 01| The Particle-based (Lagrangian) Methods
6-24
Lecture 08 Procedural Animation
6-22
Convex Optimization-2
5-22
Convex Optimization-1
5-22
MIT 6.824 分布式系统课程- 实现Mapreduce Lab1
5-21
MIT 6.824 分布式系统课程(1)
4-26
Probabilistic Graphical Models(9)
4-25
初学加性组合(三):有关Approximate group的一些性质
4-25
Probabilistic Graphical Models(8)
4-24
Probabilistic Graphical Models(4)
4-24
Lecture 03-04 Transformation
4-24
Lecture 03-04 Transformation
4-24
Lecture 04 Eulerian View (Fluid Simulation)
4-23
Probabilistic Graphical Models(3)
4-23
Probabilistic Graphical Models(6)
4-23
Probabilistic Graphical Models(5)
4-23
Probabilistic Graphical Models(7)
4-22
Probabilistic Graphical Models(2)
4-22
Lecture 02 Review of Linear Algebra
4-21
Probabilistic Graphical Models(1)
4-21
Lecture 01 Overview of Computer Graphics
4-21
实时阴影
4-21
实时PBR
4-16
初学加性组合(二):划分法与Szemeredi-Trotter 定理的证明
4-15
初学加性组合(一):基本概率方法与加性组合中几个简单的问题
2-17
About Here
2020
10-19
第11章 高级着色器应用
10-19
第10章 片段操作
10-19
第13章 Windows上的OpenGL
10-19
第15章 Linux上的OpenGL
10-19
第14章 OS X上的OpenGL
10-19
第16章 OpenGL ES
10-19
第12章 高级几何图形管理
10-19
第4章 向量矩阵的基础变换
10-19
第1章 3D图形和OpenGL简介
10-19
第5章 基础纹理
10-19
第2章 入门指南
10-19
第6章 非存储着色器
10-19
第3章 基础渲染
10-19
第8章 缓冲区对象存储
10-19
第9章 高级缓冲区
10-19
第7章 纹理高级知识
6-24
CesiumJs第八课
6-24
CesiumJs第九课
6-24
CesiumJs学习笔记第十课
6-21
Cesium学习第六课
6-21
Cesium学习第七课
6-20
Cesium第五课
6-18
Cesium学习第四课
6-17
Cesium学习第三课
6-16
Cesium中所使用的MVVM模式的记录
6-16
Cesium 学习第二课
6-15
Cesium 学习第一课
5-22
CS224n Lecture 01
4-21
Chapter12-回环检测
4-21
Chapter14-SLam方案
4-21
Chapter13-建图
4-21
Chapter1-初识SLAM
4-21
Chapter4-相机与图像
4-21
Chapter2-三维空间刚体运动
4-21
Chapter3-李群与李代数
4-21
Chapter5-非线性优化
4-21
Chapter7-视觉里程计2
4-21
Chapter6-视觉里程计1
4-21
Chapter10-后端
4-21
Chapter11-后端2
4-15
实变第二章总结
4-15
实变第一章总结
2019
5-19
Chapter19-直线检测
5-15
Chapter18-霍夫变换
5-14
Chapter17-nav导航
5-13
Chapter16-AMCL定位
5-12
Chapter15-地图服务
5-11
Chapter14-ROS工具箱(Moveit!)
5-9
Chapter13-ROS工具箱(rosbag功能包)
5-7
Chapter12-ROS工具箱(rqt)
5-5
Chapter11-ROS工具箱(Rviz)
5-3
Chapter10-ROS工具箱(Gazebo)
5-1
Chapter9-ROS系统架构(二)
4-30
Chapter8-ROS系统架构(一)
4-29
Chapter7-Getting Started
4-28
Chapter6-Ubuntu16.04+Kinetic环境安装
4-27
Chapter5-MoveIt机械臂控制
4-25
Chapter4-常用组件-TF
4-23
Chapter3-ROS基础
4-22
Chapter2-Creating Two-wheeled ROS robot
4-21
Chapter1-Getting Started
2018
6-27
cs231n作业:assignment2 - Convolutional Networks
6-26
cs231n作业:assignment2 - Batch Normalization and Dropout
6-25
cs231n作业:assignment1 - features
6-25
cs231n作业:assignment2 - Fully-Connected Neural Nets
5-25
cs231n作业:assignment1 - twolayernet
5-24
cs231n作业:assignment1 - softmax
5-23
cs231n作业:assignment1 -svm
5-22
cs231n作业:assignment1 - knn
4-24
AcceleratedC++ C10 管理内存与低级数据结构
4-24
AcceleratedC++ C11 定义抽象数据类型
4-23
AcceleratedC++ C9 定义新类型
4-21
AcceleratedC++ C7 使用关联容器
4-20
Accelerated C++ C6 使用库算法
4-19
Accelerated C++ C5 使用使用顺序容器和分析字符串
4-17
AcceleratedC++ C3 使用批量数据
4-16
AcceleratedC++ C2 循环与计数
4-15
AcceleratedC++ C1 字符串的使用
4-15
AcceleratedC++ C4 组织程序和数据
2017
9-21
C4 Network Layer:Data
8-21
C4 SDN
7-21
C4 Router
6-21
C4 IP
5-28
C3 TCP
5-25
C3 RDT
5-23
CS229 Lecture note-2
5-22
CS229 Lecture note-1
5-22
C3 Congestion Control
5-21
C3 Congestion Control For TCP
4-29
C3 UDP
4-28
C2 P2P
4-27
C2 FTP
4-25
C2 DNS
4-23
C2 FTP
4-22
C2 Application Layer
4-21
C2 Email
4-21
C1 Introduction
4-21
C2 Web/HTTP
4-21
C3 MUX & DMUX
4-21
C3 Transport Layer