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GSOC with SEF ScholerX

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I got know about  Google Summer of Code (GSoC) in last year. I just Googled about it about got some information but at that Time I was just wondering what do at GSoC.So without  guidance, I got lost interest about GSoC in 2018 and let it go.

But I 2019  I get know about SEF scholer X  programme for GSOC. So I applied for it and got select.

 No photo description available.

Once I got mentor He asked about the interested area and what sort of projects I 'm are looking at.  After that, he asked me to list down all GSoC projects of organizations I liked, which are in the last two years.

here I have listed down all the projects and, Since I have an interest in Machine Learning I chose projects covering ML.

 GOSC 2018

Python Software Foundation 2018 Projects
Sushil Khanchi  -Add dry-run functionality to each write command
Abhijeet Panda -Automatic Forecasting
Parichit Sharma -DIPY workflows and Quality Assurance
Karandeep Singh Juneja -Extend Visualization - Focus in UI
thechargedneutron     -Extended Visualization : Focus in GLSL
Xinquan Wu     -Implementing multi-thread capacities for nonrigid registration in DIPY using OpenMP
Sangeet Kumar Mishra =--Improve Functionality of hg grep | PSF | Mercurial
Oleh Kozynets -Interactive 3D visualizations of human brain activity in the Jupyter Notebook using ipyvolume
Tommy Clausner -mne.set_volumeAverage(True) - preparing Group level analyses for volumetric data
Shreyas Fadnavis -Model Fitting using Microstructure Imaging of Crossing (MIX): DIPY   
Stefanie Lumnitz -PySAL - Geovisualization Package
Aditya Bharti -Scipy: Rotation formalism in 3 dimensions
Viral Mehta -Scrapinghub: Scrapy - Spider Auto Repair
Chau Tung Lam Nguyen -Scrapy performance improvement
       






Institute for Artificial Intelligence        
Mircea-Tudor Chifor  -Eye Tracking GUI Integration
An T. Le          -Flexible perception pipeline manipulation for RoboSherlock
Shingo Kitagawa      -Implementation of Deep Learning Annotators written in Python into RoboSherlock   
Björn Veit     -KnowRob visualization in RobCoG
Kaivalya Rawal -Markov Logic Networks in Python: PracMLN
Shixin Li     -Proposal for RoboSherlock GSOC 18
                   

CloudCV

            
Ram Ramrakhya     Fabrik
Dhruv Batheja     Implementing python package and new features for EvalAI
Vipin Singh         Improve Demo creation in Origami
fristonio         Improve Demo creation in Origami
Adarsh Suraj     Python Package, Amazon SQS and REST-ful services for EvalAI.
       

mlpack

  
Wenhao Huang -Alternatives to Neighborhood-Based Collaborative Filtering
            Yasmine Dumouchel     -Automated Binding Generator
Shikhar Jaiswal     -Implementing Essential Deep Learning Modules
Manish Kumar -LMNN (via Low-Rank optimization) & BoostMetric Implementation
Haritha Sreedharan Nair -Neural Collaborative Filtering
Atharva Khandait -Variational Autoencoders



GSOC 2017

CloudCV

Utkarsh Gupta -CloudCV Web App Redesign
Rishabh Jain     -Implementing RESTful web services for EvalAI
Utsav Garg -Improved layer support and collaboration
Avais Pagarkar -Making research more accessible with Origami

Institute for Artificial Intelligence


      An T. Le     -Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios
      Mykola Dolhyi -Multi-modal cluttered scene analysis in knowledge intensive scenarios
     Marcel Meier -Realistic Grasping using Unreal Engine
     Yilong Li     -ROS with PR2 integration in Unreal Engine
     Yousaf  -Topic 3: ROS with PR2 integration in Unreal Engine

                                                                                                                                                                                                                                               
                       
Python Software Foundation 2017 Projects

Vikram Nitin            
Adding more types of Convolution Operations                   
Pradyun Gedam            
Adding Proper Dependency Resolution to pip
João Victor Risso            
Extend usage of optimized GPU libraries in Theano
Omar Hammad            
Faster Stingray
xadahiya            
Hydrus and a Simulation to demonstrate the capabilities of the Hydra Draft
Chris Andrew            
Hydrus: A Hydra based server and ‘smart’ client to demonstrate the Hydra draft
Ras-al-Ghul            
Italian Mars Society (IMS): Biometric Signal Sensor’s Interface
                   
Abhijith C            
Italian Mars Society (IMS): BIOMETRIC SIGNAL SENSOR’s INTERFACE
Vishnu Teja Yalakuntla            
Italian Mars Society(IMS): Vision based Terrain Traversability Estimation for Planetary Robots and Astronauts
Trailblazer            
Italian Mars Society: Space Weather Monitoring for A Virtual Reality Simulation of A Martian Settlement
Stefan Richthofer            
Jython: Develop Windows version of JyNI and ideally support all extensions currently workable on POSIX (e.g. ctypes, NumPy)       

           
Sumit Madhwani            
Kivy: Plyer, a platform-independent API
Ján Jančár            
Mailman: Encrypted lists
Evgeny Zhurko            
Maximum Likelihood Estimation for count data
Rishabh Madan            
Mercurial: Release notes Extension                   
britta-wstnr            
MNE-Python: Hilbert beamformer for source reconstruction of neural oscillations               
qrqiuren            
MyHDL: Fixed-point Compiler
                   
slietzau            
New module for the creation of spectra for TARDIS
                   
aleks_            
PySAL: Explicitly spatial unsupervised learning (regionalization)
                   
Vaibhav Gupta (vg3095)            
Reading Simulation from file
Ira Lun            
Rework and fix WebOb’s handling of HTTP Accept headers
                   
Antônio Horta Ribeiro            
Scipy: Large-scale Constrained Optimization
Sarthak Madaan            
Scrapinghub (dateparser) : Integrate unicode CLDR database with dateparser
Elena Zakharova        
ScrapingHub: adding the support for finding and parsing dates in the large texts to dateparser
                   
       
Parth-Vader            
Scrapy benchmarking suite

Jarvis Miller            
Statsmodels: Survey methods and adding weights to existing methods                           
Sagar Kohli            
Sub org: Peragro :- Implementation of plug-in for audio feature extraction.
Mohammed Affan            
Theano:Add more convolution operations and update meta-optimizer
Haroon Rashid            
Timelab Technologies : A library of Time Series Methods

Mlpack


             
Dewang Sultania -Better Benchmarking for mlpack Libraries
Kirill Mishchenko -Cross-Validation and Hyper-Parameter Tuning
Kris Singh     -Deep Learning Modules
Chenzhe Diao     -Frank-Wolfe Algorithm for Sparse Optimization and Regularization of Atom Norms
Konstantin Sidorov -GSoC '17 "Augmented RNNs" project proposal
Saurabh Gupta -GSoC-2017: Build testing with Docker and VMs
KARTIK NIGHANIA -Neural Evolution Algorithms on NES games
Sumedh Ghaisas -Neural Turing Machines
Shikhar Bhardwaj -Parallel stochastic optimization methods
Shangtong Zhang -Reinforcement Learning Framework
       

OpenCV

Karan Desai -A Model Zoo for Tiny-dnn
Laksono Kurnianggoro -API for Facial Landmark Detector
João Cartucho -Documentation Improvement
Suman Kumar Ghosh     -End to End text detection and recognition
sukhad Anand         -Face alignment with opencv
Evgenii Zheltonozhskii -GPU enabled deep learning framework
                   
Mihai Bujanca     -Implementing and extending DynamicFusion (Newcombe et al 2015)
                   
Congxiang Pan -Improve and Extend the JavaScript Bindings for OpenCV
SHENGXIN QIAN -Improve Background Subtraction with Aggregated Saliency
Vladislav Samsonov -Improvement of the background subtraction algorithm
kv     -Learning compact models for object detection
Nan Yang -Photometric Calibration
Pau Rodríguez-Recurrent Neural Networks on tiny-dnn
Jiri Horner     -Speeding-up AKAZE features
Kuan Wang  -The Fast Bilateral Solver

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