Machine Learning for Science (ML4SCI) GSoC projects
Every Google Summer of Code project accepted at Machine Learning for Science (ML4SCI), grouped by program year. Open a project to see its contributor, mentors, technologies, and source code.
Back to Machine Learning for Science (ML4SCI)GSoC 2026
33 projects- Radiomics Feature Extraction and Calcium Phenotype Discovery
AdityaParashar
- Exoplanet Atmosphere Characterization
Anushree Upasham
- Quantum Resource Analysis and Benchmarking
ashutoshm1771
- Event Classification With Masked Transformer Autoencoders
Avishikta Bhattacharjee.
- DeepLense: Lens Finding for LSST Images
DhruvSrivastava
- Machine Learning for Gravitational Lens Finding
MichaelJiao
- Hybrid 3D CNN with Deformable Attention and FNO for CAC Segmentation
Rajat Nandkumar Shedshyal
- Foundation models for End-to-End event reconstruction
Suryansh Mishra
- Foundation Models for Exoplanet Characterization
Tanmay Singhal
- Quantum Circuit Design with LLMs
Tomoya Hatanaka
GSoC 2025
31 projects- Foundation models for End-to-End event reconstruction
Aaditya Porwal
- Super-Resolution and Analysis of Gravitational Lensing Images
Aleksandr Duplinskii
- Physics Guided Machine Learning on Real Lensing Images
Ashutosh Ojha
- Discovery of hidden symmetries and conservation laws
Avishikta_Bhattacharjee
- A Diffusion-Based Deep Learning Framework for Denoising Protoplanetary Disk Observations
Chukwunwogor Faithful
- DeepLense: Gravitational Lens Finding Project
DhruvSrivastava
- Exoplanet Atmosphere Characterization
Gaurav Shukla
- Data Processing Pipeline for the LSST
Kartik Mandar
- Foundation models for symbolic regression tasks
Krish Malik
- Quantum Machine Learning For Exoplanet Characterization
Sourish Phate
- Foundation Models for Exoplanet Characterization
Tanmay Singhal
GSoC 2024
26 projects- Non-local GNNs for Jet Classification
Tanmay Bakshi
- Quantum transformer for High Energy Physics Analysis at the LHC
Alessandro Tesi
- Equivariant quantum neural networks for High Energy Physics Analysis at the LHC
Lazaro Raul Diaz Lievano
- Physics-Guided Machine Learning
Ashutosh Ojha
- Evolutionary and Transformer Models for Symbolic Regression
Aryamaan Thakur
- Exoplanet Atmosphere Characterization
Gaurav Shukla
GSoC 2023
23 projects- Quantum Transformers for HEP Analysis at the LHC
Marçal Comajoan Cara
- Deriving planetary surface composition from orbiting observations from spacecraft
Sandeepan Dhoundiyal
- Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC
Gopal Ramesh Dahale
- Diffusion Models for Fast Detector Simulation
Akshit Choudhari
- Updating the DeepLense Pipeline
Saranga Kingkor Mahanta
- Super-Resolution for Strong Gravitational Lensing
Pranath Reddy
- Finding Exoplanets with Astronomical Observations
Mihir Tripathi
- Self-Supervised Learning for Strong Gravitational Lensing
Kartik Sachdev
GSoC 2022
20 projects- Anomalies Detection
Amal Saif
- Finding Exoplanets with Astronomical Observations
Mahdi Boulila
- Updating the DeepLense Pipeline
Saranga Kingkor Mahanta
- End-to-End Deep Learning Reconstruction for CMS Experiment
Purva Chaudhari
- Deep Regression Exploration
Zhongchao Guan
GSoC 2021
19 projects- Machine Learning Model for the Planetary Albedo
Sofia Strukova
- Machine Learning Model for the Albedo of Mercury
Georgios Pipilis
- Direct Objective Function for Anomaly Detection
Yurii Halychanskyi
- Background Estimation with Neural AutoRegressive Flows
Muhammad Ehsan ul Haq
- End-to-End Deep Learning Reconstruction for CMS Experiment
Purva Chaudhari
- Normalizing Flows for Fast Detector Simulation
Aditya Ahuja
- Quple - Quantum GAN
Chi Lung Cheng
- Quantum Convolutional Neural Networks for High-Energy Physics Analysis at the LHC
Eraraya Ricardo Muten
- Machine Learning for Turbulent Fluid Dynamics
Amey Varhade