A concise but complete full-attention transformer with a set of promising experimental features from various papers

An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

Graph Neural Network Library for PyTorch

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Code to compute the prominence and isolation of mountains from digital elevation data

Python implementation of the PR-SSM.

Code to compute the prominence and isolation of mountains from digital elevation data

Automated deep learning algorithms implemented in PyTorch.

Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …

🎉 A Vue.js 3 UI Library made by Element team

Crack LeetCode, not only how, but also why.

Sample code for Constrained Graph Variational Autoencoders

✒统计学习方法第二版（李航） 学习笔记、代码实现、课后习题

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

A simple, delicate, and modern theme for the static site generator Hexo.

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Code to compute the prominence and isolation of mountains from digital elevation data

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

PlaidML is a framework for making deep learning work everywhere.

PyTorch implementation of char-rnn (character-level language model)

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

Keras implementation of STF-RNN: Space Time Features-based Recurrent Neural Network for Predicting People Next Location

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

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