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Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info such as mini reviews of some of the books in the flowchart.
Uplift modeling and causal inference with machine learning algorithms
Collect Some Paper Of Compute Advertising
A new markup-based typesetting system that is powerful and easy to learn.
What can I do with a LLM model?
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Universal LLM Deployment Engine with ML Compilation
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Interact with your documents using the power of GPT, 100% privately, no data leaks
A playbook for systematically maximizing the performance of deep learning models.
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Easy and blazing-fast book searcher, create and search your private library.
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.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .