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We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Machine Learning in Finance: From Theory to Practice Book
FMA: A Dataset For Music Analysis
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Repository for benchmarking graph neural networks (JMLR 2023)
Puzzles for learning Triton
The Open Source Memory Layer For Autonomous Agents
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Machine learning lessons and teaching projects designed for engineers
Project containig related material for my TensorFlow articles
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Algorithms for outlier, adversarial and drift detection
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Benchmarking Knowledge Transfer in Lifelong Robot Learning
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo