Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

Fully open reproduction of DeepSeek-R1

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

The LLM Evaluation Framework

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）

Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"

ModelScope: bring the notion of Model-as-a-Service to life.

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

深度学习相关的模型训练、评估和预测相关代码

《Spark: The Definitive Guide Big Data Processing Made Simple》学习心得，说翻译嘛也不算完全翻译吧，只能说以个人经验和理解重新叙述一遍。同步更新在掘金上，点链接可跳转

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

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Recommender Learning with Tensorflow2.x