Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

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

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Source codes for our SIGIR '23 paper

Reinforced Recommendation toolkit built around pytorch 1.7

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A terminal for a more modern age

The code of paper Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. WWW 2022.

Curated coding interview preparation materials for busy software engineers

An unofficial Python wrapper for OpenAI's ChatGPT API

有完整版的PDF下载。

天涯 kkndme 神贴聊房价

C++那些事

A curated list of graph data augmentation papers.

Tutorial code on how to build your own Deep Learning System in 2k Lines

该仓库尝试整理推荐系统领域的一些经典算法模型

程序员延寿指南 | A programmer's guide to live longer

Pytorch domain library for recommendation systems

Code for our SIGIR 2021 short paper "Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation."

Recent Advances in MLP-based Models (MLP is all you need!)

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A curated model zoo for recommendation tasks

该仓库主要记录 NLP 算法工程师相关的面试题

“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.

The full minitorch student suite.