gsoc2026
Here are 23 public repositories matching this topic...
Markowitz Mean-Variance Portfolio Optimization using CVXPY | GSoC 2026 Pre-Application Work
-
Updated
Mar 3, 2026 - Jupyter Notebook
High-performance, zero-copy Rust inference backend for Vision-Language Models (VLMs). Designed for edge deployment utilizing ONNX Runtime and hardware-accelerated execution providers.
-
Updated
Feb 24, 2026 - Rust
GSoC 2026 qualification task: Spack upstream readiness audit for key4hep packages
-
Updated
Mar 8, 2026 - Python
-
Updated
Mar 25, 2026 - Python
Interactive network traffic anomaly visualizer — parses PCAP/Zeek logs and renders connection graphs, time-series plots, and protocol breakdowns via a Flask dashboard
-
Updated
Mar 29, 2026
AI-powered Qt .ts translation tool for Vorta — built as GSoC 2026 exploration project
-
Updated
Mar 23, 2026 - Python
ML4Sci GSoC 2026 Evaluation (FASEROH): Training Seq2Seq architectures (LSTM & Transformer) to compute symbolic Taylor series expansions.
-
Updated
Mar 16, 2026 - Python
AutoEIT GSoC 2026 evaluation: Spanish EIT audio transcription and automated meaning-based scoring
-
Updated
Apr 1, 2026 - HTML
ML-based network intrusion detection system with real-time alerts, SHAP explainability, and a Flask dashboard
-
Updated
Apr 16, 2026 - Jupyter Notebook
Real-time face detection using Intel OpenVINO toolkit — GSoC 2026 preparation project
-
Updated
Mar 21, 2026 - Python
Sparse Autoencoder + Pruning for CMS jet classification | GSoC 2026 @ CERN-HSF | Built with spconv + PyTorch
-
Updated
Mar 22, 2026 - Python
POC for GSoC 2026 — normalizes LLM API responses from Gemini, OpenAI, Anthropic and Ollama into one common structure
-
Updated
Mar 22, 2026 - TypeScript
Three-stage pipeline for behavioral eval coverage inventory, gap analysis, and automated eval generation for Gemini CLI - GSoC 2026 proposal for Project #23331
-
Updated
Mar 24, 2026 - TypeScript
GSoC 2026 — ML4SCI DeepLense Evaluation Test: Multi-Class Classification + Gravitational Lens Finding
-
Updated
Mar 31, 2026 - Jupyter Notebook
Empirical analysis quantifying the 0.009 ROC-AUC gap between PyTorch GNNs (2D graphs) and OLMo-7B (1D SMILES) on Tox21. Exposes the Random Split illusion and provides the baseline justification for Topological State Machine (TSM) integration.
-
Updated
Mar 15, 2026 - Jupyter Notebook
​GSoC 2026 Screening — Team Communication Processing and Analysis in Human-Factors Simulated Environment | HumanAI / TRIP Lab
-
Updated
Mar 31, 2026 - Jupyter Notebook
Evaluation pipeline for the ML4SCI DeepLense GSoC 2026 project, focusing on dark matter morphology and Equivariant Neural Networks.
-
Updated
Apr 10, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the gsoc2026 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gsoc2026 topic, visit your repo's landing page and select "manage topics."