🙌 Welcome open-source Python mini-project contributions!
- python
- python-mini-projects
- data-science
- data-visualization
Repository Index
81,337 visible repositories in the index
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A curated list of awesome data labeling tools
- image-annotation
- video-annotation
- audio-annotation-tool
- audio-annotation
A curated list of papers & resources linked to 3D reconstruction from images.
- computer-vision
- 3d-reconstruction
- motion-estimation
- awesome-list
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
- database
- learn-to-database
- mini-database
- classroom
A description of the conceptual model of React without implementation burden.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
TranslatediOS 9 adaptation tutorial series (iOS development study and discussion group: https://github.com/ChenYilong/iOSBlog/issues/21)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Data Science Roadmap from A to Z
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
Papers on Computational Advertising
- computational-advertising
- machine-learning
- ctr-prediction
- deep-learning
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
Source Code for Go In Action examples
A step-by-step introduction to making games and interactive media with the Pixi.js rendering engine.
TranslatedA knowledge base for red teaming and offensive security.
- command-and-control
- execution
- exploit
- initial-access
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention