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All Algorithms implemented in Python
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
awesome-autonomous-driving
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Awesome-LLM: a curated list of Large Language Model
Collection of papers and resources on Multimodal Reasoning, including Vision-Language Models, Multimodal Chain-of-Thought, Visual Inference, and others.
A curated list of awesome Python frameworks, libraries, software and resources
An awesome list of self-driving cars
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
Bird's Eye View Perception
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
Add bisenetv2. My implementation of BiSeNet
Implement a model of real-time semantic segmentation for autonomous driving
Autonomous driving vehicles have drawn a great deal of interests from both academia (e.g. Oxford, MIT) and industry (e.g. Google, Tesla). However, we find that it is very difficult to directly achieve fully autonomous driving (SAE Level 5) due to generalised knowledge. To deal with the problem, deep imitation learning is a promising solution which learns knowledge from the demonstration of human. In this project, we worked on how to use deep imitation learning to achieve vehicle dynamic control (e.g. steering angle, speed). We used a dataset and simulator provided by Udacity (https://github.com/udacity/self-driving-car-sim) and the real-world comma.ai dataset.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
CamVid original data set, and the generated 11 category labels and training grayscale images.
ROS bridge for CARLA Simulator
Tools for dataset generation based on CARLA simulator. (Data Collector)
multi-agent data collection and distributed learning in CARLA simulation
RGBD-SLAM , GMAPPING, HECTORMAPPING, OCTOGRAPH , KARTOSLAM , GOOGLE CARTOGRAPHER SLAM implementation in CARLA SIMULATOR
PyTorch implementation for Semantic Segmentation on Cityscapes dataset using R2UNET and its modified version.
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
README and scripts for the Cityscapes Dataset
code for CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data (CVPR 2022)
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 included. ⭐ support visual intelligence development!
Implementation of DeepLabV3 paper using Pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.