open-source agentic AI data assistant for the next generation of AI + Data products.

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

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。

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.

Recommender Learning with Tensorflow2.x

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

All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

Uncertainty-aware representation learning (URL) benchmark

利用大模型赋能智能推荐，通过案例讲解大模型推荐算法原理，并且给出代码实现。

Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)

2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/

Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf

Application of MIMO model from the paper Training independent subnetworks for robust prediction (Available online at https://arxiv.org/pdf/2010.06610) in Pytorch with automated hyperparameter optim…