See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction

Code for Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Pytorch implementation of the Power Spherical distribution

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

a collection of AWESOME things about Optimal Transport in Deep Learning

借用dotnetcore / FastGithub实现快速登录Github

This project aims to enhance the working environment on Windows

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution (AAAI 2024)

POT : Python Optimal Transport

Code and hyperparameters for the paper "Generative Adversarial Networks"

Colour transfer algorithms for grading the colours of an image

A collection of research on knowledge graphs

Making large AI models cheaper, faster and more accessible

My blogs and code for machine learning. http://cnblogs.com/pinard

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Word2Vec Java Port

novel deep learning research works with PaddlePaddle

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Keras-based implementation of Relational Graph Convolutional Networks

千古前端图文教程，超详细的前端入门到进阶知识库。从零开始学前端，做一名精致优雅的前端工程师。