vulpetYTH's starred repositories
jira_clone
A simplified Jira clone built with React/Babel (Client), and Node/TypeScript (API). Auto formatted with Prettier, tested with Cypress.
awesome-ai-residency
List of AI Residency Programs
awesome-cs-books
🔥 经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
hackathon-starter
A boilerplate for Node.js web applications
The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
online_photometric_calibration
Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)
awesome-robotic-tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
deepseqslam
The Official Deep Learning Framework for Robot Place Learning
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
pytracking
Visual tracking library based on PyTorch.
deep_uncertainty_estimation
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Self-Driving-Cars
Coursera Open Courses from University of Toronto
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
awesome-anchor-free-object-detection
In this project, we focus on collection the anchor free object detection paper or code.
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning.
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.
LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
MSCKF_VIO_MONO
Monocular MSCKF_VIO 单目版本msckf_vio,包括算法模型详细数学推导文档msckf1.0.doc