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Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
Notes from books and other interesting things that I've read. Table of contents at the end 👇
Python toolkit for quantitative finance
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
《数学建模导论》教程,全网最全数学建模模型与算法教程系列,带你走进数学建模的大门!
LLM Zoomcamp - a free online course about building a Q&A system
Poker with Deep Reinforcement Learning, multi processing, genetic algorithms
Foundation Models for Time Series
End-to-End Autonomous Driving with Spiking Neural Networks
A nanoGPT pipeline packed in a spreadsheet
[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters"
该资源为作者《Python中的图像处理》书籍所有源代码,已修改为Python3实现,希望对您有所帮助,一起加油。
Slides, notes, and materials for the workshop
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
A toolkit for machine learning from time series
Portfolio and risk analytics in Python
llama3 implementation one matrix multiplication at a time
[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG)