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3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
AI project for path traversal
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
All of my textbooks written for various classes
AMEF - Artificial Multiple Exposure Fusion for Image Dehazing
Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.
A curated list of papers & resources linked to 3D reconstruction from images.
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
A collection of resources and papers on Diffusion Models
A collection of resources on GAN inversion.
Bolei's archive on generative modeling
A curated list of resources on implicit neural representations.
A curated list of awesome neural radiance fields papers
A collection of resources on neural rendering.
This is a list of awesome paper about optical flow and related work.
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
A curated list of deep RL resources
Reinforcement learning resources curated
We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, cloud infrastructure, and software engineering as well.
A curated list of awesome self-supervised methods
:metal: awesome-semantic-segmentation
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system utility, decrease the overall cost, and increase mission success probability. Deep Reinforcement Learning (DRL) helps organize agents' behaviors and actions base
[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
A fork of BoostingMonocularDepth adapted for use as a module from your image processing pipeline scripts.
Official implementation of "Boosting Light-Weight Depth Estimation Via Knowledge Distillation"
Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)
We provide the code repository for our paper This repository includes the necessary code to replicate our experiments and utilize our DRL model for spacecraft trajectory planning. By accessing the repository, researchers and practitioners can benefit from our approach to efficiently transfer spacecraft to GEO using low-thrust propulsion systems.
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.