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Talking about Personal Stuffs:

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  • 👨🏽‍💻 I’m studying in NUS now;
  • 👯 I’m looking to collaborate on Autonomous Vehicle-Prediction and Planning 🤝;
  • 💬 Ask me about anything, I am happy to help;

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⭐️ From snwmbgsct

snwmbgsct's Projects

algorithm-base icon algorithm-base

专门为刚开始刷题的同学准备的算法基地,没有最细只有更细,立志用动画将晦涩难懂的算法说的通俗易懂!

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

carla icon carla

Open-source simulator for autonomous driving research.

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fiss_planner icon fiss_planner

FISS Planner: A General Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving

flash-linux0.11-talk icon flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

gpir icon gpir

[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement

hackintosh icon hackintosh

Hackintosh long-term maintenance model EFI and installation tutorial

hand3d icon hand3d

Network estimating 3D Handpose from single color images

hello-algorithm icon hello-algorithm

🌍 针对小白的算法训练 | 包括四部分:①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附:1、千本开源电子书 2、百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

interfuser icon interfuser

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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