100-AI-Machine-Learning-Deep-Learnin-Projects
Enrichment pending100 AI Machine Learning Deep Learning Projects is a curated repository showcasing innovative, production-ready solutions across computer vision, NLP, and more.
GraphCanon updated today · GitHub synced today
Trust & integrity
Full report- Maintenance
- Very active (6d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Personal account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
100 AI Machine Learning Deep Learning Projects is a curated repository showcasing innovative, production-ready solutions across computer vision, NLP, and more.
Capability facts
- Languages
- html
Source: github.language · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
<sub>LLM integrations, prompt engineering, LangChain pipelines, and RAG-based applications.</sub>Source link
Source: README excerpt (regex_v1, Jul 11, 2026)
| 03 | [Agentic AI Roadmap with LangGraph](https:Source link
Tags
README
About This Repository
A curated, production-grade collection of 100 AI, Machine Learning, and Deep Learning projects — refined over a decade of hands-on experience across research, industry, and open-source development.
Whether you're just entering the AI space or a seasoned practitioner looking for reference implementations, this repository covers the full stack of modern AI engineering — from classical ML to cutting-edge generative models.
What's Inside
 Traditional algorithms, ensemble methods, statistical modeling, feature engineering, and advanced regression/classification pipelines. |
 CNNs, RNNs, LSTMs, GANs, Transformers, Autoencoders, and other modern neural architectures. |
 Real-time image processing, object detection, segmentation, pose estimation, and visual anomaly detection. |
 Contextual embeddings, sentiment analysis, text classification, language modeling, and advanced text analytics. |
 LLM integrations, prompt engineering, LangChain pipelines, and RAG-based applications. |
 Cross-domain AI integrations that combine ML, DL, CV, and NLP to tackle complex real-world problems. |
⭐Star History
Project List
This list is regularly updated — new projects are added frequently. Watch the repo to stay notified!
| # | Project | Description | Tags |
|---|---|---|---|
| 01 | ML Roadmap and Notes | Complete machine learning roadmap with structured notes | ML Roadmap Beginner |
| 02 | GenAI Roadmap with LangChain | Generative AI roadmap with hands-on LangChain notes | GenAI LangChain LLM |
| 03 | [Agentic AI Roadmap with LangGraph](https: |