《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simula…

stock prediction with GAN and WGAN

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Convolutional-AutoEncoder-pytorch，代码简单易懂，且Encoder部分调用torchivision的API删除全连接层编写而成。它居然还可以生成二次元老婆，嘿嘿嘿！！！

This Repo Contains the Source Code and Pretrained Model for the Paper "Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning", which is published in 54th Design Automatio…

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

GAN, semi-supervised, abnormal detection

Pytorch神经网络教程_新手版

Deep Learning for Time Series Classification

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

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

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

A unified framework for machine learning with time series

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Generative inpainting Tensorflow 2 version. Original version by Jiahui Yu is here: https://github.com/JiahuiYu/generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Invisibility Cloak Project using OpenCV

official Pytorch implementation of ICCV 2021 paper FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

[ECCV 2022] Flow-Guided Transformer for Video Inpainting