Starred repositories
🦜🔗 Build context-aware reasoning applications
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.
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。
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
Segment Anything in Medical Images
Stanford CS231n assignment in 2019 spring
UCAS 数据挖掘课程项目 Option 1: 2020 CCF 大数据与计算智能大赛 风电机组异常数据识别与清洗