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A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
High-Resolution Image Synthesis with Latent Diffusion Models
Reference PyTorch implementation and models for DINOv3
A collection of pre-trained, state-of-the-art models in the ONNX format
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
[ICCV 2019] Monocular depth estimation from a single image
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
An educational AI robot based on NVIDIA Jetson Nano.
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Metric depth estimation from a single image
Algorithms for outlier, adversarial and drift detection
Efficient neural feature detector and descriptor
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
Python toolkit for the BOP benchmark: evaluation and utilities for 6D object pose estimation.
The Official Repository for "Generalized OOD Detection: A Survey"
Easy to use Python camera interface for NVIDIA Jetson
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"