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apoplavsky

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active 2026-02-12 → 2026-06-12 (UTC) · 54 repositories

Complete coverage27,150 / 27,152 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-19 (UTC)
Events
69
Pushes
27
Pull requests
0
Issues
0
Reviews
0
Repositories
54

Activity over time

Daily event counts in the loaded window

Line chart, 121 days from 2026-02-12 to 2026-06-12. Pushes: 27 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues

Pull requests and issues are under-captured in the later part of this window. GH Archive progressively stopped recording non-push events during 2026 — −95% or worse by the end of the window. A decline in those two series reflects the archive rather than this account. Pushes stay reliable throughout, so read them as the real signal. Data health has the measurements.

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list · top 50

RepositoryContributionsPushesPRsIssuesCommentsLast seen
Data-AI-IDDA/m2-07-lab-real-world-data220002026-03-11
Data-AI-IDDA/m2-06-lab-datasets-labeling220002026-03-11
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentals220002026-05-07
apoplavsky/selene220002026-03-05
Data-AI-IDDA/m1-04-assessment220002026-02-14
Data-AI-IDDA/m6-07-lab-transfer-learning-fine-tuning220002026-05-13
Data-AI-IDDA/m6-02-lab-training-deep-networks110002026-05-07
Data-AI-IDDA/m4-10-assessment110002026-04-06
Data-AI-IDDA/m3-13-assessment110002026-04-09
Data-AI-IDDA/m1-05-lab-pandas-foundations110002026-02-22
Data-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls110002026-03-12
Data-AI-IDDA/m2-02-lab-data-models-storage-engines110002026-02-14
Data-AI-IDDA/m8-05-assessment110002026-06-05
Data-AI-IDDA/m1-09-assessment110002026-02-12
Data-AI-IDDA/m6-05-lab-sequence-models-transformers110002026-05-07
Data-AI-IDDA/m4-05-assessment110002026-04-16
Data-AI-IDDA/m3-02-lab-simulation-first-probability110002026-03-12
Data-AI-IDDA/m6-03-lab-convolutional-neural-networks110002026-05-07
Data-AI-IDDA/m8-02-lab-prompting-inference-api110002026-06-05
Data-AI-IDDA/m7-03-lab-containerization-docker-ml110002026-06-01
Data-AI-IDDA/m5-project-weather-pipeline110002026-04-27
Data-AI-IDDA/lab-project-kickoff-api-exploration000002026-03-10
Data-AI-IDDA/m9-04-lab-tool-use-function-calling000002026-06-12
Data-AI-IDDA/lab-fundamentals-feature-engineering000002026-04-06
Data-AI-IDDA/m1-03-lab-numpy-arrays-and-advanced-operations000002026-02-12
Data-AI-IDDA/m7-07-assessment000002026-05-22
Data-AI-IDDA/m1-02-lab-data-structures-functions000002026-02-12
Data-AI-IDDA/m5-04-lab-data-cleaning-feature-engineering000002026-04-06
Data-AI-IDDA/lab-model-deployment000002026-04-06
Data-AI-IDDA/lab-classification000002026-04-06
Data-AI-IDDA/m3-04-assessment000002026-02-23
Data-AI-IDDA/lab-hypothesis-testing000002026-03-10
Data-AI-IDDA/m8-01-lab-from-transformers-to-llms000002026-06-05
Data-AI-IDDA/m6-06-lab-deep-reinforcement-learning000002026-05-12
Data-AI-IDDA/m3-09-lab-feature-relationship-diagnostics000002026-02-23
Data-AI-IDDA/m5-06-lab-exploratory-data-analysis000002026-04-06
Data-AI-IDDA/m5-05-lab-pipeline-automation-data-quality000002026-04-06
Data-AI-IDDA/m1-01-lab-ipython-python-basics000002026-02-12
Data-AI-IDDA/m2-05-assessment000002026-02-14
Data-AI-IDDA/m4-08-lab-model-training-evaluation000002026-04-06
Data-AI-IDDA/m9-08-assessment000002026-06-12
Data-AI-IDDA/lab-correlation-feature-analysis000002026-03-10
Data-AI-IDDA/m5-03-lab-database-design-data-loading000002026-04-06
Data-AI-IDDA/m2-08-lab-practical-data-pipelines000002026-02-14
Data-AI-IDDA/m9-02-lab-rag-system-architecture000002026-06-12
Data-AI-IDDA/m7-02-lab-mlops-lifecycle-reproducibility000002026-05-22
Data-AI-IDDA/m5-02-lab-data-ingestion-pipeline000002026-04-06
Data-AI-IDDA/m6-06-lab-generative-models000002026-05-07
Data-AI-IDDA/m4-01-lab-fundamentals-feature-engineering000002026-04-06
Data-AI-IDDA/m2-01-lab-data-sources-representation000002026-02-13

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

ContributorShared reposRepositories in common
ElvinNasirov6
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m6-02-lab-training-deep-networksData-AI-IDDA/m1-09-assessment+2
nazrinmammadzadeh5
Data-AI-IDDA/m6-02-lab-training-deep-networksData-AI-IDDA/m8-05-assessmentData-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m2-02-lab-data-models-storage-engines+1
nigarrustamova5
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuningData-AI-IDDA/m1-09-assessment+1
adilhasanov-glitch4
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m1-09-assessmentData-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
khavar-analytics4
Data-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuningData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
AliAgabalayev3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m6-02-lab-training-deep-networksData-AI-IDDA/m3-13-assessment
Jabrail-Atakishiyev3
Data-AI-IDDA/m1-09-assessmentData-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
Maqa33333
Data-AI-IDDA/m3-02-lab-simulation-first-probabilityData-AI-IDDA/m3-13-assessmentData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuning
NarminDirayeva3
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m5-project-weather-pipelineData-AI-IDDA/m3-13-assessment
ShamilAliyew3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m4-10-assessment
alexiiiiiiiii3
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m4-10-assessmentData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
raulibrahimov3
Data-AI-IDDA/m6-05-lab-sequence-models-transformersData-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m4-10-assessment
wiajane3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m1-04-assessment
wiserval3
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m1-09-assessmentData-AI-IDDA/m2-06-lab-datasets-labeling
AyxanMuxtar2
Data-AI-IDDA/m3-13-assessmentData-AI-IDDA/m1-09-assessment
KamalMusayev2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-02-lab-data-models-storage-engines
SamaAmrullayeva2
Data-AI-IDDA/m3-13-assessmentData-AI-IDDA/m1-09-assessment
aliyarlinurana2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m1-04-assessment
ibrahmsuleymanovdata2
Data-AI-IDDA/m8-05-assessmentData-AI-IDDA/m2-02-lab-data-models-storage-engines
ilahes2
Data-AI-IDDA/m6-07-lab-transfer-learning-fine-tuningData-AI-IDDA/m1-09-assessment
nargizaliyeva232
Data-AI-IDDA/m3-02-lab-simulation-first-probabilityData-AI-IDDA/m6-02-lab-training-deep-networks
qoncheismayilova2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-02-lab-data-models-storage-engines
seljankhasiyeva2
Data-AI-IDDA/m6-02-lab-training-deep-networksData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
AysuAnar1
Data-AI-IDDA/m1-05-lab-pandas-foundations
Manheim6661
Data-AI-IDDA/m1-04-assessment

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.