dudu-dprt's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-python
A curated list of awesome Python frameworks, libraries and software.
CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
EffectiveModernCppChinese
《Effective Modern C++》- 完成翻译
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Journals-of-Prognostics-and-Health-Management
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
kaggle-course-answer
Kaggle courses and tutorials to get you started in the Data Science world.
lc-all-solutions
My own leetcode solutions by python
leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
leetcode
LeetCode Problems' Solutions
Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
MMSD
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
Monkey-Helper-Tools-py
some little tools that might help me in my development, write in python code.
numpy-ml
Machine learning, in numpy
project-based-learning
Curated list of project-based tutorials
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
TFN
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
TL-Bearing-Fault-Diagnosis
Bearing fault diagnosis using transfer learning (or domain adaptation).
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.