mlpack
a fast, flexible machine learning library
- 60
- Projects
- 9
- Years accepted
- 6
- In 2024
Projects by year
602024
6 acceptedShow
This proposal seeks to enrich the mlpack library by incorporating advanced evolutionary strategies, specifically focusing on enhancing the Covariance...
The goal of this project is to finish the XGBoost implementation inside of mlpack, followed by intense tuning, profiling, and improving such that it...
Adding NSGA-3 and AGE-MOEA Multi Objective Optimizers
Accepted project · by Satyam Govind Shukla
Multi-objective optimization (MOO) plays a crucial role in decision-making across diverse fields, where conflicting objectives need to be balanced....
Performance and Memory Optimization for Machine Learning Algorithms in mlpack
Accepted project · by Mark Fischinger
In Google Summer of Code 2024, I focused on optimizing key algorithms in the mlpack library, targeting both performance and memory usage across...
Training intricate machine learning models to achieve the desired level of proficiency can be time-consuming and require high computational...
I will implement the yolov3-tiny model using mlpack. I will get Darknet-19 working, flesh out the API, build and train yolov3-tiny, publish the...
2023
3 acceptedShow
Two new activation functions have been recently proposed FTSwish, and LiSHT and I am proposing to add them to mlpack along with two Pooling methods....
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is an evolutionary strategy which updates the covariance matrix of a normal search...
Expanding Reinforcement Learning in mlpack: DDPG and TD3 Agents Integration
Accepted project · by Tarek Elsayed
This project's primary objective was to enrich the mlpack reinforcement learning framework by incorporating new agents, specifically DDPG and TD3,...
2022
4 acceptedShow
- Enhance CMA-ES from existing implementation in ensmallen - a optimization header libraryJohn Hoang
- Ready to use ModelsShubham Agrawal
- Example ZooTarek Elsayed
- Addition of PPO, Twin Delayed DDPG, Hindsight Experience Replay to RL CodebaseEshaan Agarwal
2021
8 acceptedShow
- Replacing boost spiritsGopi Manohar Tatiraju
- A Framework for Multiobjective OptimizersNanubala Gnana Sai
- Example ZooRoshan Swain
- Revamp mlpack bindingsNippun Sharma
- Improvisation and Implementation of ANN ModulesAbhinav Anand
- Improve Tree Ensemble SupportRishabh Garg
- Ready to use Models in mlpackAakash Kaushik
- Example ZooDavid Port Louis
2020
8 acceptedShow
- mlpack on RPi and other resource-constrained devicesOmar Shrit
- Improvisation and Implementation of ANN ModulesAnjishnu Mukherjee
- Visualization ToolJeffin Sam
- Application of ANN Algorithms Implemented in mlpack.Kartik Dutt
- Implementing Essential Deep Learning ModuleHimanshu Pathak
- Addition of Rainbow and Soft Actor-Critic to RL codebaseNishant Kumar
- Transformer and BERT in mlpackMrityunjay Tripathi
- Automatically-Generated R BindingsYashwant Singh Parihar
2019
9 acceptedShow
- Application of ANN Algorithms Implemented in mlpackMehul Kumar Nirala
- String Processing UtilitiesJeffin Sam
- mlpack-Tensorflow TranslatorSreenik Seal
- Implementing Essential Deep Learning ModulesSaksham Bansal
- Quantum Gaussian Mixture ModelsSangyeon Kim
- PPO(Proximal Policy Optimization)xiaohong ji
- Implementing Essential Deep Learning ModulesToshal Agrawal
- NeuroEvolution of Augmenting Topologies & Multi-Objective OptimizationRahul Ganesh Prabhu
- Advanced Kernel Density Estimation ImprovementsRoberto Hueso Gomez
2018
6 acceptedShow
- LMNN (via Low-Rank optimization) & BoostMetric ImplementationManish Kumar
- Neural Collaborative FilteringHaritha Sreedharan Nair
- Alternatives to Neighborhood-Based Collaborative FilteringWenhao Huang
- Automated Binding GeneratorYasmine Dumouchel
- Variational AutoencodersAtharva Khandait
- Implementing Essential Deep Learning ModulesShikhar Jaiswal
2017
10 acceptedShow
- Neural Turing MachinesSumedh Ghaisas
- Neural Evolution Algorithms on NES gamesKARTIK NIGHANIA
- Deep Learning ModulesKris Singh
- GSoC '17 "Augmented RNNs" project proposalKonstantin Sidorov
- Reinforcement Learning FrameworkShangtong Zhang
- Cross-Validation and Hyper-Parameter TuningKirill Mishchenko
- GSoC-2017: Build testing with Docker and VMsSaurabh Gupta
- Frank-Wolfe Algorithm for Sparse Optimization and Regularization of Atom NormsChenzhe Diao
- Parallel stochastic optimization methodsShikhar Bhardwaj
- Better Benchmarking for mlpack LibrariesDewang Sultania
2016
6 acceptedShow
- We need to go deeper - GoogLeNetnilay_jain
- Approximate Nearest Neighbor Search: Implementation of Multiprobe LSH and LSH Tuningmentekid
- Neuroevolution Algorithms ImplementationBang
- Approximate Nearest Neighbor SearchMarcos Pividori
- Dataset and Experimentation ToolsKeonKim
- R+ trees, Hilbert R trees, vantage point trees, random projection trees, UB trees implementationlozhnikov
Public proposals
6- mlpack proposal by Utkarsh Kumar2024 · Utkarsh Kumar · Accepted · from COPS-IITBHU/GSoC-Accepted-Proposals
- MLPack proposal by Eshaan Agarwal2022 · Eshaan Agarwal · Accepted · from COPS-IITBHU/GSoC-Accepted-Proposals
- Example Zoo Mlpack proposal David Port Louis2021 · Status not recorded · from Google-Summer-of-Code-Archive/gsoc-proposals-archive
- ExampleZoo Mlpack ProposalbyRoshanSwain2021 · Status not recorded · from Google-Summer-of-Code-Archive/gsoc-proposals-archive
- Ready to Use Models in MLpack-Aakash Kaushik2021 · Status not recorded · from Google-Summer-of-Code-Archive/gsoc-proposals-archive
- MLPack proposal by Nishant Kumar2020 · Nishant Kumar · Accepted · from COPS-IITBHU/GSoC-Accepted-Proposals
Read them for structure, not to copy. All proposals for mlpack.
