Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
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The 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 than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Examples and guides for using the OpenAI API
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
TranslatedThings About C++
- cplusplus
- cpp
- cpp11
- cpp14
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
A playbook for systematically maximizing the performance of deep learning models.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Community guide to securing and improving privacy on macOS.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
Examples and guides for using the Gemini API
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
- adr
- documentation
- teamwork
- architecture-decision-record
TranslatedSpring Boot practical learning examples, the best practice for Spring Boot beginners and for consolidating core technologies.
- springboot
- redis
- jpa
- elasticsearch
a collection of simple demos of React.js
:satellite: Simple and ready-to-use tutorials for TensorFlow
- tensorflow
- python
- deep-learning
- deep-learning-tutorial
Translated"Spring Boot Basic Tutorial", the 2.x version is being published serially and is still ongoing! Click the link below to go straight to the tutorial table of contents!
- spring-boot
- spring-cloud
- spring-data-jpa
- dubbo