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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.
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
Pytorch🍊🍉 is delicious, just eat it! 😋😋
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Notes about courses Dive into Deep Learning by Mu Li
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
Dense image captioning in Torch
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
Simple image captioning model
Official implementation of SAM-Med2D
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
LaVIT: Empower the Large Language Model to Understand and Generate Visual Content
A PyTorch reimplementation of bottom-up-attention models
Basic Course in Python for use with BIM
Interactive Jupyter Notebooks to teach working with IFC files using ifcopenshell
《机器学习必修课：经典算法与Python实战》配套代码
Pytorch implementation of image captioning using transformer-based model.
Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the featur…
Medical Image captioning on chest X-rays
Hyperparameter analysis for Image Captioning using LSTMs and Transformers
Deep learning for automated corrosion detection
SAGE-E source code and RoomGraph dataset for classifying room types for semantic enrichment BIM models.
Machine learning for corrosion