Stars
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Source code for Twitter's Recommendation Algorithm
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）
Structure-Guided Ranking Loss for Single Image Depth Prediction
Implementation of "Attention Is Off By One" by Evan Miller
The source code of ``Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time''. In KDD'24
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
[ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).
Tweedie family density estimation in python
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Official implementation of Adabins: Depth Estimation using adaptive bins
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)