gutouyu

Understanding-the-Ranking-Loss

Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

ReLLa

Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".

generative-recommenders

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

annotated-transformer

An annotated implementation of the Transformer paper.

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

gpt-pilot

The first real AI developer

uncertainty-calibration

A collection of research and application papers of (uncertainty) calibration techniques.

lmfit-py

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

one_epoch_phenomenon

This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by CIKM2022. The codes will be released soon.

RecBole

A unified, comprehensive and efficient recommendation library

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Dr.Sure

🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

CCDR

advanced-challenge

Top-conference-paper-list

A collection of classified and organized top conference paper list.

PWLQ

Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks

netron

Visualizer for neural network, deep learning and machine learning models

STOSA

WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"

Awesome-Self-supervised-Learning-papers

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

WWW-22-DIHN

[WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation

paper-reading

深度学习经典、新论文逐段精读

google-research

Google Research

mmdetection

OpenMMLab Detection Toolbox and Benchmark

faiss

A library for efficient similarity search and clustering of dense vectors.

moco

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

ai-deadlines

:alarm_clock: AI conference deadline countdowns