mlpack GSoC projects
Every Google Summer of Code project accepted at mlpack, grouped by program year. Open a project to see its contributor, mentors, technologies, and source code.
Back to mlpackGSoC 2024
6 projects- Implementing XGBoost
Abhimanyu Dayal
- Adding NSGA-3 and AGE-MOEA Multi Objective Optimizers
Satyam Govind Shukla
- ONNX-mlpack converter
kumar utkarsh
- Implementing yolov3-tiny in mlpack
Andrew Furey
GSoC 2023
3 projects- Enhance CMA-ES
Suvarsh
- Activation functions and Pooling methods
Mayank Raj
GSoC 2022
4 projects- Ready to use Models
Shubham Agrawal
- Example Zoo
Tarek Elsayed
GSoC 2021
8 projects- Replacing boost spirits
Gopi Manohar Tatiraju
- Improve Tree Ensemble Support
Rishabh Garg
- Improvisation and Implementation of ANN Modules
Abhinav Anand
- A Framework for Multiobjective Optimizers
Nanubala Gnana Sai
- Revamp mlpack bindings
Nippun Sharma
- Example Zoo
Roshan Swain
- Ready to use Models in mlpack
Aakash Kaushik
- Example Zoo
David Port Louis
GSoC 2020
8 projects- Improvisation and Implementation of ANN Modules
Anjishnu Mukherjee
- Visualization Tool
Jeffin Sam
- Implementing Essential Deep Learning Module
Himanshu Pathak
- Addition of Rainbow and Soft Actor-Critic to RL codebase
Nishant Kumar
- Transformer and BERT in mlpack
Mrityunjay Tripathi
- Automatically-Generated R Bindings
Yashwant Singh Parihar
GSoC 2019
9 projects- Application of ANN Algorithms Implemented in mlpack
Mehul Kumar Nirala
- String Processing Utilities
Jeffin Sam
- mlpack-Tensorflow Translator
Sreenik Seal
- Implementing Essential Deep Learning Modules
Saksham Bansal
- Quantum Gaussian Mixture Models
Sangyeon Kim
- PPO(Proximal Policy Optimization)
xiaohong ji
- Implementing Essential Deep Learning Modules
Toshal Agrawal
- NeuroEvolution of Augmenting Topologies & Multi-Objective Optimization
Rahul Ganesh Prabhu
- Advanced Kernel Density Estimation Improvements
Roberto Hueso Gomez
GSoC 2018
6 projects- Neural Collaborative Filtering
Haritha Sreedharan Nair
- Automated Binding Generator
Yasmine Dumouchel
- Variational Autoencoders
Atharva Khandait
- Implementing Essential Deep Learning Modules
Shikhar Jaiswal
GSoC 2017
10 projects- Neural Turing Machines
Sumedh Ghaisas
- Neural Evolution Algorithms on NES games
KARTIK NIGHANIA
- Deep Learning Modules
Kris Singh
- GSoC '17 "Augmented RNNs" project proposal
Konstantin Sidorov
- Reinforcement Learning Framework
Shangtong Zhang
- Cross-Validation and Hyper-Parameter Tuning
Kirill Mishchenko
- GSoC-2017: Build testing with Docker and VMs
Saurabh Gupta
- Parallel stochastic optimization methods
Shikhar Bhardwaj
- Better Benchmarking for mlpack Libraries
Dewang Sultania
GSoC 2016
6 projects- We need to go deeper - GoogLeNet
nilay_jain
- Approximate Nearest Neighbor Search
Marcos Pividori