chachingchen's Stars
PaulWaltersDev/FreeLearningResourcesForSoftwareTesters
A New Project to create a set of links to free Online Learning Resources for New and Experienced Software Testers.
abhivaikar/howtheytest
A collection of public resources about how software companies test their software
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
mfaisalkhatri/awesome-learning
Curated lists of awesome learning resources for a Software Test Automation Engineer
fityanos/awesome-quality-assurance-roadmap
:books: The starting point of your career as a Software Quality Assurance Engineer | Quality Automation Engineer :books:
chiphuyen/coding-exercises
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
zixian2021/AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
amusi/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
amusi/AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
datawhalechina/llm-cookbook
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
girls-in-ai/Girls-In-AI
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
MLEveryday/practicalAI-cn
AI实战-practicalAI 中文版
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
recommenders-team/recommenders
Best Practices on Recommendation Systems
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
guipsamora/pandas_exercises
Practice your pandas skills!
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
rougier/numpy-100
100 numpy exercises (with solutions)