intel/AI-PC-Samples
Jul 2025 – Jul 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
BERTScoreData PreparationFine-tuningHugging Face TransformersImage CaptioningJupyter Notebooks
anil-francis
PROFILE
Anil-francis
Developed an end-to-end image captioning fine-tuning notebook for the intel/AI-PC-Samples repository, focusing on the BLIP-large model with PyTorch XPU support on the Hephaestus dataset. The work encompassed data preparation, model training, evaluation using BERTScore, and practical visualizations to assess caption quality. Delivered as a Jupyter Notebook, the solution included clear setup and usage instructions, enabling reproducible experimentation and facilitating cross-hardware compatibility. The implementation provided a reusable foundation for future image captioning research, emphasizing maintainability and extensibility. No bug fixes were addressed during this period, as the primary focus remained on robust feature delivery and comprehensive documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,518
Activity Months1
Your Network
2122 peopleSame Organization
@intel.com2109
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered the Image Captioning Fine-Tuning Notebook (BLIP-large on Hephaestus with PyTorch XPU) for intel/AI-PC-Samples. End-to-end workflow added: data preparation, fine-tuning, evaluation, and visualizations for caption quality improvement. The feature is ready for reproducible experimentation and cross-XPU usage, with clear instructions and practical visualization outputs. No major bugs fixed this month; focus was on feature delivery and documentation. Key commit: fef9826eb734f1fa60023c0ac5e07542eb2d93f6 ('added finetuning notebook (#256)').
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered the Image Captioning Fine-Tuning Notebook (BLIP-large on Hephaestus with PyTorch XPU) for intel/AI-PC-Samples. End-to-end workflow added: data preparation, fine-tuning, evaluation, and visualizations for caption quality improvement. The feature is ready for reproducible experimentation and cross-XPU usage, with clear instructions and practical visualization outputs. No major bugs fixed this month; focus was on feature delivery and documentation. Key commit: fef9826eb734f1fa60023c0ac5e07542eb2d93f6 ('added finetuning notebook (#256)').
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
BERTScoreData PreparationFine-tuningHugging Face TransformersImage CaptioningJupyter NotebooksModel EvaluationPyTorchPyTorch XPU
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline