Repository Index

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

• data-science
• machine-learning
• deep-learning
• data-portfolio

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

• pytorch
• image-classification
• deep-learning
• cifar100

TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions

• kaggle
• data-competition
• data-science
• deep-learning

TranslatedRUN · 润 (Run, "to slip away; to emigrate"): A handbook for overseas relocation for Chinese passport holders. 110 immigration routes across 36 European countries + 13 major immigration regions: digital nomad visas, EU Blue Card, skilled migration, study-to-work, entrepreneurship and self-employment, investment residency, each with official sources, continuously updated.

• china
• chinese
• digital-nomad
• digital-nomad-visa

The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.

• python
• flask
• webapp

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

• reinforcement-learning
• machine-learning
• artificial-intelligence
• deep-reinforcement-learning

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

• interview
• leetcode
• pytorch

:ballot_box_with_check: [Cheatsheet] Tips and tricks for Android Development

• android-development
• android-studio
• gradle
• cheatsheet

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!

• ai
• ai-agent
• ai-agent-tools
• claude

Examples and tutorials to help developers build AI systems

• agents
• ai
• anthropic
• llm

A curated list of awesome Jupyter projects, libraries and resources

• jupyter-notebook
• jupyter
• jupyterhub
• jupyterlab

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

• dsp
• python
• signal-processing
• textbook

Curated list of Python resources for data science.

• awesome
• awesome-list
• data-science
• datascience

TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"

Notebooks using the Hugging Face libraries 🤗

:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!

• forthebadge
• badges
• markdown
• markdown-cheatsheet

🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

• best-of
• awesome
• best-of-list
• cli

TranslatedFree sharing of e-books and materials for programmers. Welcome to follow my personal WeChat official account: 编程与实战 (Programming and Practice)

• java
• pdf
• python
• stl

Build desktop apps built with Python. Examples for PyQt6, PySide6, Flet, DearPyGUI, Kivy, NiceGUI, Streamlit, Tkinter, PyQt5 & PySide2

• python
• python3
• pyqt
• pyqt5

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

• policy-gradient
• pytorch
• actor-critic-algorithm
• alphago

TranslatedA collection of practical computer technology books, simple and practical tutorials you can use to get started in a short time, some technical websites, and some well-written blog posts. Feel free to Fork, and you can also take part in editing through Pull Requests.

• python
• javascript
• ruby
• java

TranslatedChinese translation notes for Python for Data Analysis, 2nd Edition (2017)

• python-for-data-analysis
• jupyter-notebook
• chinese-translation
• data-analysis

Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.

• computer-vision
• deepsort
• diffusion-models
• onnx