Study-Notes
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待阅读文章列表
机器学习
- [ ] A Gentle Introduction to Object Recognition With Deep Learning--目标检测入门介绍
- [ ] Cloth Swapping with Deep Learning: Implement Conditional Analogy GAN in Keras
- [ ] Feature Selection with sklearn and Pandas
- [ ] 机器学习竞赛小众特征工程技巧
- [x] machine-learning-in-python--翻译完成
- [x] 9 Applications of Deep Learning for Computer Vision--计算机视觉的应用综述,参考+查找资料,写成文章
- [x] 10 New Things I Learnt from fast.ai v3:阅读,主要是对 fast.ai 课程学习后的感想
PyTorch
- [ ] A Simple Neural Network from Scratch with PyTorch and Google Colab
- [ ] Pytorch--采用CNN的迁移学习
- [ ] PyTorch实现的BiSeNet人脸解析改进
- [ ] Pytorch可视化工具--tensorwatch
- [x] 加速PyTorch
- [x] PyTorch数据加载教程
Keras
- [ ] Keras Tutorial: How to get started with Keras, Deep Learning, and Python
- [ ] Fine-tuning with Keras and Deep Learning
- [ ] Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Dataset V4--Keras 训练 Faster R-CNN
- [ ] (Keras)用迁移学习从人脸图像估计体质指数
- [ ] 可视化卷积核和 features map
深度学习
CNN
- [ ] Simple Introduction to Convolutional Neural Networks
- [ ] Advanced Topics in Deep Convolutional Neural Networks
- [ ] Intuitively Understanding Convolutions for Deep Learning
- [ ] How to Visualize Filters and Feature Maps in Convolutional Neural Networks--可视化卷积核和特征图
- [ ] How to Implement VGG, Inception and ResNet Modules for Convolutional Neural Networks from Scratch--实现VGG、Inception、ResNet模块代码
- [ ] A Simple Guide to the Versions of the Inception Network
- [ ] CNN Heat Maps: Class Activation Mapping (CAM)
- [ ] 【俗话卷积网络】《Convolutional Neural Networks — Simplified》
- [ ] 如何区分并记住常见的几种 Normalization 算法
- [ ] 【完结】总结12大CNN主流模型架构设计思想
- [ ] CNN网络结构的发展:从LeNet到EfficientNet
- [ ] 如何训练ResNet系列文章--一共八篇文章
计算机视觉
- [ ] 利用复联3介绍 Image Caption
- [ ] 计算摄影 | 图像合成与融合
- [ ] mAP (mean Average Precision) for Object Detection
- [ ] 图像处理100问--Github 上的一个图像处理教程
- [ ] 深度学习超分辨率指南
- [x] 【技术综述】多标签图像分类综述
项目
- [ ] The 4 Convolutional Neural Network Models That Can Classify Your Fashion Images--介绍了4种CNN模型来训练时尚数据集
- [ ] 手把手教你搭建食物识别API
- [x] 利用CycleGAN生成不同属性的神奇宝贝
- [ ] How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1--pytorch实现YOLO(v3)的一系列教程
- [ ] 用深度学习和局部敏感哈希搜索相似图片
- [x] 手把手系列 | 教你用Python构建多标签图像分类模型(附案例)
- [x] 图像配准:从SIFT到深度学习
GAN
- [x] GANs"必读"论文推荐
- [x] GAN的有趣应用
项目
- [ ] GANs的端到端介绍
人脸
项目
Python
- [x] Jupyter Notebook 入门教程
- [x] Jupyter Notebook进阶教程
- [ ] 强化你的Jupyter Notebooks
- [ ] Reading and Writing CSV Files in Python--读取,保存csv文件
- [ ] How to create, read, update and search through Excel files using Python
- [ ] Python Tricks 101--总结了一些不常见当有效的技巧,主要来自 PyTricks 项目
- [ ] Jupyter tips, tricks and shortcuts--28 个 Jupyter 的 秘诀、技巧和快捷键
- [ ] 技巧、诀窍和魔法:轻松优化Jupyter Notebook
- [x] 用Numba加速Python代码
- [ ] Python 工匠:高效操作文件的三个建议
- [ ] 24式加速你的Python--阅读总结
- [ ] Python 工匠:让函数返回结果的技巧
- [x] Python Pro Tip: Start using Python defaultdict and Counter in place of dictionary
- [x] Cython 加速Python
项目
- [ ] Python 批量下载无版权图片
Git
- [ ] Git/GitHub基础速查