Stars
Tutorial Series (60 hour course): Essentials of computer vision
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Open-source high-performance RISC-V processor
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
A beautiful, simple, clean, and responsive Jekyll theme for academics
[ICCV-2021] TransReID: Transformer-based Object Re-Identification
[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
A Manim utility extension for Visual Studio Code.
Roadmap to become a Visual-SLAM developer in 2023
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Ask HN: What books have made the biggest impact on your mental models?
【CVPR 2024】Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]
MobiLlama : Small Language Model tailored for edge devices
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code inclu…
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A pytorch implementation to train the conditional imitation learning policy in "Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective".
Scenarios, tutorials and demos for Autonomous Driving
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Turn any computer or edge device into a command center for your computer vision projects.
Images to inference with no labeling (use foundation models to train supervised models).
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…