[MENTEE] Armaghan Shakir
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 1/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- huggingface, python
- Domain
- ai, machine-learning
Research direction
This issue is a mentorship profile rather than an implementation task, and it points to coordinated work in issue 6381. Start by reading issue 6381 and the linked mentorship context; this issue has no files, tests, acceptance criteria, or defined completion condition.
Written by the indexing model from the issue text.
Description
Mentee:
Armaghan Shakir (he), Linkedin
Mentor(s):
@fkiraly @benHeid @yarnabrina
Why did you join sktime's mentorship program?
For a long time, I've wanted to contribute and collaborate on open source projects. I have my interests in Machine Learning and Deep Learning. At sktime, I have found a perfect opportunity to work on an opensource project in the field of my interest under proper supervision.
What topics are you working on?
For the first month, I will be working on Huggingface, peft, lora and scattered foundation models; coordinated here https://github.com/sktime/sktime/issues/6381
What are your learning goals?
- learn and apply deep learning techniques for time-series data analysis
- become more familiar with AI tools and methods
- improve my python coding skills
- learn how to design, write and test quality code.
What's next for you after the mentorship program?
For now I want to make 100% of this opportunity. After the mentorship program, I want to continue contributing to opensource projects, preparing myself for roles of mentor / core-developers for upcoming programs.
- Dominant language
- No language data
- Stars
- 46
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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