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gnn explainer

Tips for Writing a Research Paper using LaTeX

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

Pytorch implementation of convolutional neural network visualization techniques

Hierarchical Attention Networks for document classification

A curated list of awesome Deep Learning tutorials, projects and communities.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Repository containing notebooks of my posts on Medium

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Pytorch implementation of various Attention Mechanism

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

An easy-to-adapt PyTorch-Lighting template. You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friend…

All natural pine, faux fur and a bit of soho vibes for the classy minimalist

Anomaly detection related books, papers, videos, and toolboxes

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

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》)

An open-source PyTorch code for crowd counting

A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem

pytorch tutorial for beginners

Paper and implementation of Channel Attention related model.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)