UCLA CS 180
My notes from the classes I've taken at UCLA
UCLA Mobile Web Framework
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
UCLA Extension Introduction to Data Science class materials
Saturday, February 25, 2017 at UCLA, Los Angeles
Lab Section Materials - UCLA 🐻
CUHK Reinforcement Learning Course
UCLA SCN lab preprocessing function for fNIRS data, collected with NIRx
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
Some basic examples of playing with RL
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
翻译 - CARLA+SUMO下全栈协同驾驶自动化应用原型的通用框架。
X Inertial-aided Visual Odometry
翻译 - X惯性视觉里程表
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
AutoSA: Polyhedral-Based Systolic Array Compiler
[FPGA 2022, Best Paper Award] Parallel placement and routing of Vivado HLS dataflow designs.
[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Compact LSTM inference kernel (CLINK) designed in C/HLS for FPGA implementation.
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/...