Thanks Heiko for your reply and for the tips but I actually have a problem with installing DPythonModular and I raised this issue <https://mailtrack.io/trace/link/651d022f2c23d862adc36bbe7ba8881cef68a5ab?url=https%3A%2F%2Fgithub.com%2Fshogun-toolbox%2Fshogun%2Fissues%2F2995&signature=c9634e3ec3e5e7c0> today. I would be very grateful if you could help me with it so I could start as soon as possible. Thanks
On Sat, Feb 20, 2016 at 5:43 PM, Heiko Strathmann < [email protected]> wrote: > Dear Youssef > (cc shogun-list), > > welcome and thanks for getting in touch! We are looking exactly for people > like yourself. In particular, your CUDA experience can be of use for us. > > Make sure to have a look at the "getting involved guide" mentioned here: > https://github.com/shogun-toolbox/shogun/wiki/Getting-involved > > The most effective way to get involved in through solving entrance tasks > on github: > https://github.com/shogun-toolbox/shogun/issues > Any entrance task is good for now. > > Note that at this early stage, both the project lists and the entrance > tasks are in constant move. > > For the usual suspects project, I think it would be best to contribute to > a concrete schedule of the projects, i.e. which algorithms to focus on, > working out a workflow for a single algorithms, and prototype it. Pick any > of Shogun's ML algorithms that you know well, and compare it to > scikitlearn, update the docs, parallelise a loop using open mp, write a > unit test, get rid of lapack calls and replace them by eigen3/linalg, etc. > Any of those items will be useful. > > Make sure to start with something *simgple* and *small*. > > > > > 2016-02-18 15:05 GMT+00:00 Youssef Emad El-Din < > [email protected]>: > >> Dear Heiko, >> >> I am a senior Computer Engineering student and I extremely interested in >> "The usual suspects" project. >> I am interested in Machine Learning and Parallel Programming on GPUs. >> I have completed Andrew Ng's course on Machine Learning , The first 2 >> courses in Coursera's Machine Learning Specialization , Udacity's Intro to >> Machine Learnig course and Udacity's Introduction to Parallel Programming >> with CUDA course. >> I have participated in "Acceleration in Electromagnetic waves simulation >> using GPU " project. I was responsible for solving thousands of linear >> equations using numerical methods on GPU using CUDA (Github >> <https://mailtrack.io/trace/link/19565cd57914400c749717d1f5fc2dda26dfb38c?url=https%3A%2F%2Fgithub.com%2Fyoussef-emad%2Fnumerical-solutions-gpu&signature=c75ff58c7fc387f9> >> ). >> I have very good experience with C++ , CUDA , Python , Ruby on Rails and >> did a number of projects with them.I also used different machine learning >> tools such as sklearn and graphlab during the mentioned courses. >> >> I wish I can contribute effectively to the project and I wish you could >> give me starting guidelines. >> >> Thanks, >> Youssef >> > >
