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the baseline for NeurIPS_Auto_Bidding_AIGB_Track
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Baseline for NeurIPS_Auto_Bidding_General_Track
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
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）
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等
Simple, unified interface to multiple Generative AI providers
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
A Hyperparameter Tuning Library for Keras
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Implementation of "RankCSE: Unsupervised Sentence Representation Learning via Learning to Rank" (ACL 2023)
A list of awesome papers and resources of recommender system on large language model (LLM).
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
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.
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
#1 Locally hosted web application that allows you to perform various operations on PDF files
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等