Study 79
- Coursework: Performance Modelling, Vectorisation and GPU Programming
- How to read a paper
- CV Assignment Part 2
- GPU Programming Lecture 01
- DLVR 1 Deep Neural Networks
- CV-workshop7
- R
- Exercise 7
- PO Lecture 6 Cache blocking & tiling
- CV Lecture 8
- PO Lecture 5 Profiling
- Exercise6
- CV Lecture 7
- 2025-02-06-
- [[2025-01-23-UL-2]]
- UL3
- CV-workshop5
- CV Assignment Part1
- CV Lecture 6
- CV Lecture 5
- Performance Measurements
- PMV Exercise 5
- k means
- 相关矩阵 vs. 协方差矩阵
- CV Workshop 3
- Conditional Probability 条件概率
- Baye's Theorem 贝叶斯定理
- UL Lecture 2
- POGPU Exercise 4
- PO Lecture 3 Roofline Models
- CV Lecture 4
- CV Lecture 3
- PO Lecture 2 Memory Hierarchy
- UP-L1
- ASML-Foundation
- GPU 01 Excersie 2 3
- GPU 01 Excersie1
- CV Lecture 2
- CV Lecture 1
- Performance Modelling, Vectorisation 01 Overview
- Professional Skills - Project development processes
- Professional Skills - Managing software projects
- Greek alpha
- IML L8.1 Using scikit-learn
- IML L7.3 k-Neighbours
- IML L7.2 Principal component analysis
- IML L7.1 The curse of dimensionality
- HPC Session 07 Collective MPI
- Robotics Review
- Robotics Mapping
- HPC Session 06 Non-blocking P2P communication
- IML L6.1 Neural network training
- IML L5.2 Variance Bias Trade-off
- Robotics ROS
- IML L5.1 Neural networks
- HPC Session 05 MPI—basics and blocking P2P communication
- Robotics 8 Path Planning
- IML L4.3 Regularisation
- IML L4.2 Non-linear Models
- IML L4.1 Learning Curves
- VScode 使用Remote SSH 连接服务器并配置密钥
- HPC Session 04 OpenMP (3/3)
- HPC Session 03 OpenMP (2/3)
- IML L3.3 SVM
- IML L3.2 ROC curve
- IML L3.1 Loss functions
- Robotics 7 Control
- Robotics 6 Localisation
- IML L2.2 Loss functions
- IML L2.1
- IML L1.2
- IML L1.1
- HPC Session 02 OpenMP
- HPC Session 01
- Robotics 5 - Manipulator Kinematics
- Robotics 4 - Kinematics
- Robotics 3 - Manipulators
- Robotics 2 Actuators & Sensors
- Robotics 1 - Introduction to Robotic