Profiles, repos, scores & roasts
Solid engineer
bronze medal
Overall
0.0/ 100
mlcourse.ai
mlcourse.ai is less a repository than an entire machine-learning curriculum that decided it needed its own postal address. The ambition is impressively larger than a normal project, and the update history suggests it keeps refusing to graduate.
Repository binding unavailable
A YouTube summarizer deployed around Cloud Run is a wonderfully modern attempt to make the internet explain itself in fewer words. It combines useful automation with the faint danger of turning every video into an executive briefing.
Historical result · no repository binding was retained
Repository binding unavailable
Gender-unbiased BERT pronoun resolution is exactly the sort of project where language ambiguity walks into a neural network and asks for a committee meeting. The premise is focused, technically ambitious, and gloriously difficult to explain at dinner.
Historical result · no repository binding was retained
runstats2sheet
runstats2sheet gives experiment metrics a one-way ticket to spreadsheet civilization. It is a compact little bridge between serious notebook work and the eternal human need to make results sortable.
Repository binding unavailable
A Stanford CS231n project turns a famous computer-vision course into a personal proving ground: part study plan, part notebook expedition, and part evidence that convolutional networks also generate homework archives.
Historical result · no repository binding was retained
Impact
25% weight
The portfolio includes a highly prominent machine-learning course repository, educational material, NLP and deep-learning projects, and practical cloud and data utilities, indicating substantial usefulness and ambition.
Consistency
15% weight
The supplied repositories show activity spanning 2013 through 2026, including multiple updates in 2025 and 2026, though several older projects are archived.
Quality
25% weight
Metadata supports strong project maturity signals through substantial scope, clear project themes, and continued maintenance in selected repositories, but source, testing, CI, documentation, and implementation quality are unavailable.
Depth
20% weight
The long-running machine-learning and educational projects, several domain-focused NLP/deep-learning repositories, and recent practical utilities indicate sustained ownership across meaningful scopes, with some archival and exercise-style项目
Breadth
10% weight
The listed work spans Python, notebooks, machine learning, NLP, education, cloud deployment, data utilities, and programming exercises; language diversity is moderate because Python and notebooks dominate.
Community
5% weight
Follower and star data provide a modest positive tie-breaker, especially for the prominent educational repository, but popularity is not used to raise the other categories and unavailable community context remains neutral.
Based on the bounded repository sample saved with this analysis.
Non-fork sample
11
Last 12 months
25
Accepted fact
2065
Profile date
Mar 2013
Scores marked Profile rating use bounded public repository metadata. Full repo analysis appears only when a separate accepted repository analysis exists.
yorko /
92/100
A substantial, actively updated Python machine-learning course repository with unusually strong visible reach and a clear educational purpose.
yorko /
73/100
An archived notebook project associated with Stanford CS231n, signaling serious computer-vision learning scope and a coherent technical theme.
yorko /
72/100
An archived notebook collection centered on deep learning in NLP and a named course context, indicating substantial educational and technical scope.
yorko /
68/100
A recent Python project focused on summarizing YouTube content with cloud-oriented scope; the metadata indicates a practical application, while implementation maturity is unknown.
yorko /
67/100
An archived notebook-based Python introduction project with substantial educational visibility and a clear beginner-oriented purpose.
yorko /
65/100
An archived notebook project addressing gender-unbiased BERT-based pronoun resolution, reflecting a focused and socially relevant NLP research problem.
yorko /
60/100
A recently updated notebook utility for sending run statistics to a spreadsheet, suggesting a focused automation project with limited visible scope.
yorko /
49/100
An archived Python project involving a Telegram channel data dump, suggesting data collection or analysis work with a focused utility.
yorko /
47/100
A recent Python implementation of a predator-prey programming task, representing a contained educational or algorithmic exercise.
yorko /
45/100
An archived Python dataset project for a fake-papers competition, with a specific applied data-science purpose but limited metadata on scope.
yorko /
44/100
An archived notebook-based programming task from 2016, showing an earlier experimentation or educational project with narrow apparent scope.
yorko /
20/100
A fork with unknown language and no supplied description; ownership and substance cannot be strongly assessed from the available metadata.
How this score was produced
Overall = Σ(category × weight) + deterministic top-end curve
| Category | Weight | Score | Contribution |
|---|---|---|---|
| Impact | 25% | 88 | 22.00 |
| Quality | 25% | 72 | 18.00 |
| Depth | 20% | 84 | 16.80 |
| Consistency | 15% | 78 | 11.70 |
| Breadth | 10% | 73 | 7.30 |
| Community | 5% | 58 | 2.90 |
What it measures. Project usefulness, ambition, originality, and coherence. Popularity is not impact.
Evidence for yorko. The portfolio includes a highly prominent machine-learning course repository, educational material, NLP and deep-learning projects, and practical cloud and data utilities, indicating substantial usefulness and ambition.
What it measures. Engineering and project-maturity signals supported by the available public metadata.
Evidence for yorko. Metadata supports strong project maturity signals through substantial scope, clear project themes, and continued maintenance in selected repositories, but source, testing, CI, documentation, and implementation quality are unavailable.
What it measures. Sustained ownership, meaningful scope, and continued maintenance rather than one-shots.
Evidence for yorko. The long-running machine-learning and educational projects, several domain-focused NLP/deep-learning repositories, and recent practical utilities indicate sustained ownership across meaningful scopes, with some archival and exercise-style项目
What it measures. Recency and contribution patterns across the supplied activity window.
Evidence for yorko. The supplied repositories show activity spanning 2013 through 2026, including multiple updates in 2025 and 2026, though several older projects are archived.
What it measures. Language entropy and project-type diversity across owned repos.
Evidence for yorko. The listed work spans Python, notebooks, machine learning, NLP, education, cloud deployment, data utilities, and programming exercises; language diversity is moderate because Python and notebooks dominate.
What it measures. A weak positive tie-breaker for supplied community signals, never a popularity penalty.
Evidence for yorko. Follower and star data provide a modest positive tie-breaker, especially for the prominent educational repository, but popularity is not used to raise the other categories and unavailable community context remains neutral.
Validate. The server validates the login, signed browser session, attempts, cooldown, daily ceiling, and the single provider permit.
Collect. The VPS collector reads bounded public profile metadata and up to 12 recent repository metadata rows in volatile memory.
Rate. One pinned provider returned a closed profile-rating object with no tools, browsing, shell, or repository-content access.
Verify. Server checks bound the subject, rejected unsafe or echoed text, validated the schema, and recomputed rubric-v3 final arithmetic.
Save. Only a valid completion and allowlisted post-completion facts commit atomically; the public projection is then rebuilt.
This saved profile analysis is metadata-only and did not read repository trees, README files, or source code. Availability of new analysis is separate from this historical result.
Rated 2026-08-11 · rating-rubric/3