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Models and examples built with TensorFlow
PyTorch Tutorial for Deep Learning Researchers
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
End-to-End Object Detection with Transformers
A paper list of object detection using deep learning.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Visual localization made easy with hloc
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
Coursera Machine Learning (Andrew Ng) --- python code
[ECCV 2024] Official implementation of NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models