Code for "Open Vocabulary Monocular 3D Object Detection"

Visual Studio Code

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

An open source implementation of CLIP.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Multimodal-GPT

Fixes macOS Preview garbled annotations

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Painter & SegGPT Series: Vision Foundation Models from BAAI

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

[CVPR 2022 Oral & TPAMI 2023] Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

NumPy aware dynamic Python compiler using LLVM

OpenMMLab Detection Toolbox and Benchmark

Tensors and Dynamic neural networks in Python with strong GPU acceleration

OpenMMLab's next-generation platform for general 3D object detection.

SECOND for KITTI/NuScenes object detection

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

这是一个centernet-pytorch的源码，可以用于训练自己的模型。

End-to-End Object Detection with Transformers

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

deep learning for image processing including classification and object-detection etc.

PyTorch深度学习快速入门教程（绝对通俗易懂！）

这是一个centernet-tf2的源码，可以用于训练自己的模型。

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

An All-MLP solution for Vision, from Google AI