Repository to track the progress in model compression and acceleration

FLOPs and other statistics COunter for Pytorch neural networks

HPV秒苗，抢九价疫苗

苗苗 约苗 九价 秒杀 脚本

天猫618/双十一喵币任务一键完成

This repository contains the source code for the paper First Order Motion Model for Image Animation

List of papers, code and experiments using deep learning for time series forecasting

Flops counter for convolutional networks in pytorch framework

some ways to optimize CNN model

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

Analysis module for CleanAir Project, CNN & MLP to predict UFP (UltraFine Particles concentration) based on geospatial pollution measurements in a city

Count the MACs / FLOPs of your PyTorch model.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

A CNN and LSTM approach to predicting air quality

CP Tensor Completion for Spatial Temporal Data

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access

This project aims to realize the tensor completion algorithms via tensor ring decomposition.

Reducing the computational overhead of Deep CNNs through parameter pruning and tensor decomposition.

Implementing Tucker ALS tensor decomposition from scratch in Python

Some tucker and parafac decomposition computations based on leNet recognition in MNIST

Pytorch implementation of convolutional neural network visualization techniques

本项目旨在寻找更加自由的网络环境，享受更好的生活。采用CDN+TLS+Nginx+v2ray、Trojan进行模拟正常网站并突破防火墙，同时包含优化方法，以及简单的原理讲解，欢迎加入TG群讨论。

Try out deep learning models online on Google Colab