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A latent text-to-image diffusion model
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.
100-Days-Of-ML-Code中文版
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。
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Public facing notes page
A collection of pre-trained, state-of-the-art models in the ONNX format
COCO API - Dataset @ http://cocodataset.org/
OneDiff: An out-of-the-box acceleration library for diffusion models.
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
A PyTorch implementation of PointRend: Image Segmentation as Rendering
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
TinyML Cookbook, published by Packt
How to create custom COCO data set for instance segmentation
Serving PyTorch models with TorchServe 🔥
rl on super-mario-bros
Finetuning a pre-trained pytorch object detection model on traffic lights dataset.
Car number plate recognition project using Deep Learning frameworks like Yolo, CNN, and CRNN models
TorchServe for Yolov5