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πŸͺ‘
cross stitch networks for multi task learning
πŸͺ‘
cross stitch networks for multi task learning

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archipelagoing/README.md

hi, i'm archisa! i like to build things :-)

thanks for showing interest in my work !!!
my name is Archisa Bhattacharya, i am an aspiring AI engineer studying at Stevens Institute of Technology! reach out to me at archisa28@gmail.com! i love to chat

🀜🏾 🫱🏻 ✌🏼 -- play a round of rock · paper · scissors --🀜🏾 🫱🏻 ✌🏼

choose your move:

rounds played: 31
record: 8W Β· 18L Β· 5T

move counts:
πŸͺ¨ Rock: 12 Β· πŸ“„ Paper: 10 Β· βœ‚οΈ Scissors: 8

last player: @archipelagoing
last round: πŸ˜„ ✌🏼 vs πŸ«±πŸ»πŸ’» β†’ πŸ† Win

πŸͺ¨πŸ“„βœ‚οΈ( this runs via GitHub Actions! here are some instructions ) πŸͺ¨πŸ“„βœ‚οΈ
(1.click your move πŸͺ¨ 2.click commit πŸ“„ 3.wait till round complete βœ‚οΈ 4. come back to my profile πŸͺ¨ 5.refresh the page to see results)


πŸ‘©πŸ½β€πŸ’» what i'm working on! πŸ‘©πŸ½β€πŸ’»

πŸ”₯ Planoramic

an ambient planning surface for the home

Planoramic turns Fire TV into a shared household calendar that is designed to be understood from across the room.

i'm currently exploring how Fire TV, Alexa+, Amazon Bedrock, Google Calendar, voice, and shared state can work together as one multimodal experience.

voice for intent Β· TV for understanding Β· remote for exploration Β· phone for configuration


πŸ§… SituatiONION

studying how relational and situation-sensitive information changes across transformer depth

SituatiONION is an interpretability project centered on GPT-2 XL. It uses controlled paraphrase/counterfactual experiments, layerwise probing, geometric analysis, and representation comparisons to investigate what information is accessible at different transformer layers.

current questions include:

  • how paraphrases and counterfactuals separate across depth
  • where relational information becomes decodable
  • how different token/readout choices change what we observe
  • whether apparent mid-layer structure survives stronger controls
  • how representations generalize to unfamiliar compositions

☁️ PCA Cloud

turn your spreadsheet into clouds

an interactive browser-based tool for exploring high-dimensional datasets using PCA and t-SNE.

upload a CSV and explore its projected structure as an interactive 3D cloud, compare dimensionality-reduction methods, inspect explained variance, and save visualizations.

open PCA Cloud β†’


🧬 EvoNashMTL

game theory + evolutionary dynamics for multi-task learning

an experimental extension of Nash-MTL that combines:

  • Nash bargaining for stepwise task fairness
  • replicator-style dynamics for longer-term task adaptation
  • gradient-based multi-task optimization

the project asks whether evolutionary scheduling can help prevent tasks from being persistently neglected during shared-model training.


🌐 CoalitionMind

what if a decision-making system behaved more like a coalition than a single agent?

a small experimental cognitive architecture where multiple internal agents compete and cooperate over a shared concept graph.

agents representing reactive, habitual, deliberative, and social strategies propose actions, while a coalition policy determines the system's final behavior.


🧴 Tenue

a social identity layer built around fragrance ownership and presence

Tenue explores how physical fragrance ownership, wear history, and communities around individual fragrances could form a persistent social network.

built around:

  • ownership
  • presence
  • fragrance communities
  • cultural activity
  • personal wear history

✦ other things i've built

there's a lot more scattered around here: NLP experiments, data visualization, cybersecurity labs, Chrome extensions, statistical tools, and assorted ideas that became repositories.

some are polished projects. some are experiments. some are evidence that i should probably stop starting new repositories.

that's part of the fun :-)

Pinned Loading

  1. Situationion Situationion Public

    Layer-wise analysis of situation-sensitive representations in GPT-2 XL through controlled comparisons and diagnostic probing.

    Jupyter Notebook 1

  2. EvoNashMTL EvoNashMTL Public

    Research repo for EvoNashMTL: a multi-task learning prototype that combines Nash bargaining with evolutionary scheduling for adaptive task weighting.

    Python 1 1

  3. CAFA6 CAFA6 Public

    ACCURACY 93.27% | a hierarchical multilabel classification framework to predict protein functions from amino acid sequences. The model integrates learned sequence representations with engineered bi…

    1

  4. Tenue Tenue Public

    #LorealBrandstorm2026 presents........TENUE: A LUXURY FRAGRANCE IDENTITY NETWORK. Scan your perfume, claim your scent identity, and enter your fragrance village. Pinterest for fragrance. Looking fo…

    TypeScript 1

  5. NormalDistributionVisualizer NormalDistributionVisualizer Public

    Visualize any percentage on a bell curve and learn what its standard deviation and z-score tell you about how far it is from average.

    HTML 1

  6. PCACloud PCACloud Public

    What does your data's PCA look like as a cloud? ☁️ An interactive 3D data visualizer that turns CSVs and Kaggle datasets into atmospheric point clouds using PCA and t-SNE. Runs entirely in your bro…

    JavaScript 1