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coursera-machine-learning

Coursera Machine Learning - Python code

cpp-primer

C++ Primer 5 answers

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cubeslam_without_ros

monocular cube-only SLAM without ROS integration.

cv-cuda

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

cvml_project

Projects and application using computer vision and machine learning

d-map

D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.

demofusion

Let us democratise high-resolution generation! (arXiv 2023)

dense_depth_priors_nerf

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

depthai-gui

DepthAI Pipeline Builder GUI

depthai-hardware

Altium Designs for DepthAI Carrier Boards

depthai-ros-examples

diffusionclip

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dl-base

dm-vio

Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry

docker-for-ros

Collection of best practices when working with Docker/Docker-Compose and the Robot Operating System (ROS/ROS 2) in simulation as well as with real-hardware with real-time requirements

drss_19_20_season_auto_update

DRSS Enterprises 2019 - 2020 season code

dsol_pangolin

dsp-slam

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

dust3r

dvsr

DVSR ("Consistent Direct Time-of-Flight Video Depth Super-Resolution"), CVPR 2023

dyn_small_obs_avoidance

editanything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.

egothink

The official code and data for paper "Can Vision-Language Models Think from a First-Person Perspective?"

embodied-generalist

Official code repository for 3D Embodied Generalist LEO

eureka

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

examples

Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

f2-nerf

Fast neural radiance field training with free camera trajectories