Free MTech CSE Python Project Source Code — GitHub 2026
All links below point to public GitHub repositories that were verified as reachable (HTTP 200) at the time of publishing. These are excellent starting points for MTech CSE students working on cybersecurity, network security, quantum computing and machine-learning security projects. Clone, study, adapt and cite appropriately.
For complete university-format packages (IEEE base paper + simulation files + report + PPT + viva Q&A), contact ProjectsatBangalore on WhatsApp.
What You Get in These Free Repos
- Full Python source code (notebooks / scripts)
- Network intrusion detection implementations
- Qiskit quantum ML & anomaly detection examples
- Scapy-based packet analysis and wireless IDS
- MLOps-style security pipelines
- Core libraries (NumPy, Pandas, scikit-learn, TensorFlow…)
- Open-source licences (MIT / Apache / etc.)
- README with setup instructions
IDS / Cyber
Multiple Network Intrusion Detection systems using ML, Scapy and GNNs.
Quantum
Qiskit tutorials, VQC anomaly detection and quantum-enhanced security PoCs.
ML Security
End-to-end MLOps pipelines and hybrid classical–quantum GANs for IDS.
Wireless / IoT
Deauth detection, CAN bus automotive security and post-quantum IoT crypto.
Core Libs
Production-grade Python libraries used in every serious CSE project.
Verified Live
All GitHub URLs checked with HTTP 200 responses before listing.
18+ Free Python Project Source Code Links (GitHub)
All repositories listed below returned HTTP 200 when verified. Click the GitHub link to clone or browse the source. Use them as learning material or starting points for your own MTech work.
| # | Project / Repository | Category | Key Tech | GitHub Link |
|---|---|---|---|---|
| 🛡️ Network Intrusion Detection & Cybersecurity (Python) | ||||
| 01 | Network Intrusion Detection (KDDCup'99, NSL-KDD, UNSW-NB15) — Deep Learning notebooks | IDS | Python · Keras · Deep Learning | github.com/vinayakumarr/Network-Intrusion-Detection |
| 02 | Network Intrusion Detection Using ML Techniques (SVM, RF, KNN, DT…) | IDS | Python · scikit-learn · Jupyter | github.com/dimtics/… |
| 03 | Network Intrusion Detection using Graph Neural Networks (GNN) | IDS | PyTorch Geometric · NSL-KDD | github.com/Abrar2652/Network-Intrusion-Detection |
| 04 | Hybrid NIDS — Signature + Isolation Forest + Flask Dashboard | Cyber | Scapy · PyShark · Flask · scikit-learn | github.com/MohamedTaherBorgi/Network-ids-Project |
| 05 | NetSentinel — AI-Powered Cybersecurity (Suricata + Zeek + ML) | Cyber | Python · Docker · ML scoring | github.com/FaiazAhmed06/cybersecurity-ml-netsentinel |
| 06 | Wireless Network IDS — Deauth & Rogue AP Detection (Scapy + Tkinter) | Wireless | Scapy · Python · Tkinter | github.com/public0x/wireless-network-ids |
| 07 | ICS / PLC Hacking & SCADA Security Lab (S7, Modbus, Profinet) | ICS | Python · Scapy · Kali tools | github.com/miguelob/ICS-Hacking |
| 08 | Automotive CAN Bus Security Lab — ECU simulation & IDS | Automotive | Python · CAN simulation · IDS rules | github.com/Tife28/automotive-security-lab |
| ⚛️ Quantum Computing & Quantum Security (Qiskit / Python) | ||||
| 09 | Qiskit Machine Learning — Official tutorials & neural network examples | Quantum | Qiskit · qiskit-machine-learning | github.com/qiskit-community/qiskit-machine-learning |
| 10 | Quantum Generative Adversarial Network (QGAN) for Intrusion Detection | QML | Qiskit · PyTorch · Hybrid GAN | github.com/francocirill/qgan |
| 11 | Quantum-Based Network Anomaly Detection using Variational Quantum Classifier | Quantum | Qiskit · VQC · ZZFeatureMap | github.com/Mir-Ilham/…VQC |
| 12 | Quantum-Enhanced Security for IoT/IoV in 6G — PCA + Post-Quantum Crypto | PQC / IoT | Python · Dilithium · PCA | github.com/umarnabibhat/…6G-Networks |
| 🤖 ML Security Pipelines & Production Libraries | ||||
| 13 | Network Security End-to-End MLOps Pipeline (ingestion → training → AWS deploy) | MLOps | Python · Docker · AWS · CI/CD | github.com/itz-Mayank/ML_Project_2 |
| 14 | scikit-learn — Official Machine Learning library (core dependency for most projects) | Library | Python · Classical ML | github.com/scikit-learn/scikit-learn |
| 15 | TensorFlow Models — Official model garden (vision, NLP, recommendation…) | Library | TensorFlow · Keras | github.com/tensorflow/models |
| 16 | Hugging Face Transformers — State-of-the-art NLP & multimodal models | Library | Python · Transformers · PyTorch | github.com/huggingface/transformers |
| 17 | Scapy — Powerful interactive packet manipulation program & library | Library | Python · Packet crafting / sniffing | github.com/secdev/scapy |
| 18 | Flask — Lightweight WSGI web application framework (dashboards & APIs) | Library | Python · Web / API | github.com/pallets/flask |
★ All 18 GitHub links were verified with live HTTP 200 responses. Repositories are public and free to clone. Always check the repository licence (MIT, Apache-2.0, etc.) before reuse. These free resources are excellent for learning and prototyping; for complete MTech deliverables (IEEE base paper, university-format report, PPT, viva Q&A and customised simulation) contact ProjectsatBangalore.
FAQ — Free CSE Python Source Code
git clone <url> without any payment. Note that GitHub availability can change over time; if a link ever becomes unavailable, search the repository name on GitHub.git clone <url> in your terminal. 4. Read the README for dependency installation (usually pip install -r requirements.txt). 5. Open any Jupyter notebooks or run the main scripts. Make sure you have a compatible Python version (3.8–3.12 recommended for most projects).How Students Use Free GitHub Code
Typical workflow: clone → study → experiment → document → submit. Free repos accelerate learning; full packages accelerate submission.
GitHub Repo
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Notebooks
& Modify
Report
PPT & Viva
Package?
Paper
Simulation
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