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Hi there, I'm Changyang Qian

👨‍💻 About Me

  • 🎓 I'm a sophomore in Computer Science and Technology at Northeastern University(NEU) now (GPA:3.85 4/123).
  • 🧠 My passion lies at the intersection of theory and practice in Deep Learning, especially in Computer Vision.
  • 🌱 I'm currently diving deep into cutting-edge topics like Noise Learning and its applications in building robust models and working in School Labs(like HAIC, DeepCV).
  • 🚀 I strongly believe in the power of open source and am eager to contribute to the PaddlePaddle ecosystem.
  • ☁️ Experienced in leveraging cloud servers and GPUs (like 4090) for efficient model training and experimentation.
  • 🏆 Win the National Second Prize in AiC2025 (Webly Supervised Fine Grained Image Recognition).
  • 💬 Ask me about Python, PyTorch, and my hands-on projects with ViT, ConvNeXt, and BERT.

📊 My GitHub Stats

3D Contributions


🛠️ My Skills & Technologies

python       cplusplus       java

      tensorflow       spring

git       linux       huggingface


🤝 Connect with Me

📧 ekhlasmamuncft@gmail.com   |   🐧 QQ: 3237460759

🎓 202410936@stu.neuq.edu.cn   |   NetEase Mail qcyqcy1802145@163.com

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  1. bert_sentiment_classifier bert_sentiment_classifier Public

    本项目提供了一个使用 Hugging Face transformers 库和 PyTorch 实现的 BERT 模型微调(Fine-tuning)流程,用于中文文本的情感分类任务。

    Python 8

  2. pytorch-CycleGAN-and-pix2pix pytorch-CycleGAN-and-pix2pix Public

    Forked from junyanz/pytorch-CycleGAN-and-pix2pix

    该项目是CycleGAN和pix2pix模型的PyTorch实现,用于图像到图像的翻译。它支持非成对(CycleGAN,如马变斑马)和成对(pix2pix,如线稿上色)的转换任务。仓库提供了完整的安装、训练、测试指南和多种预训练模型,方便快速上手。

    Python 6

  3. qcy_student_management qcy_student_management Public

    这是一个基于 Java 开发的学生信息管理系统后端服务。项目采用经典的分层架构设计,实现了对学生、教师、班级、课程、成绩等核心数据模块的增、删、改、查(CRUD)功能。

    Java 7

  4. Vit_fine_tuning_cifar Vit_fine_tuning_cifar Public

    Vit_fine_tuning_cifar 是一个专注于计算机视觉领域的深度学习项目,其核心任务是利用强大的Vision Transformer (ViT) 模型,在经典的 CIFAR 数据集上进行微调(Fine-tuning),以实现高精度的图像分类。

    Python 6

  5. xinghuo xinghuo Public

    这是一个关于江苏省常州市星火装饰有限公司的一个网站(在苏南非常有名气),感兴趣的同志可以来看看,如果工程上有需要的,欢迎找我父亲帮忙

    CSS 6

  6. AIC-Webly-supervised-Fine-Grained-Image-Recognition-National-Second-Prize AIC-Webly-supervised-Fine-Grained-Image-Recognition-National-Second-Prize Public

    框架核心是两阶段“粗筛-精滤”数据清洗流程。首先,利用CLIP的多门控决策逻辑进行宏观粗筛,精准剔除插��、图表等非摄影类噪声。随后,利用DINOv2的细粒度特征,创新采用“相对边际分数”识别处于类别边界的混淆样本,并结合GMM模型为各类别动态确定清洗标准。整个流程内置最小样本保留机制,以保护长尾分布下的稀有类别。 在清洗后的高纯度数据上,我们采用非对称协同训练策略。通过Swin Transf…

    Python 207 33