Skip to content
View nisaral's full-sized avatar

Block or report nisaral

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nisaral/README.md

👨‍💻 Keyush Nisar

About Me

Architecting distributed systems to survive my own AI models. Researcher | MLOps | AI/ML

Socials:

LinkedIn GitHub Email

*Let's connect and build something amazing together! *

Pinned Loading

  1. Casual_dynamical_AI Casual_dynamical_AI Public

    A first-principles exploration of the physics, calculus, and probabilistic graph models required to build agents capable of causal reasoning, energy minimization, and structural extrapolation

    Jupyter Notebook 8

  2. DIO DIO Public

    OpenAI-compatible gateway that load-balances across stock vLLM replicas — no engine patches. Dual-timescale NLMS latency prediction, session/prefix affinity, and SLO admission that does NOT thresh…

    BibTeX Style 3

  3. uncertainty-diffusion-world-models uncertainty-diffusion-world-models Public

    Uncertainty-aware distilled diffusion world models for model-based reinforcement learning. Combines fast consistency-model sampling with per-transition epistemic + aleatoric uncertainty weighting f…

    Python 4

  4. IndicXLMR IndicXLMR Public

    IndicXLMR-LoRA is a lightweight, parameter-efficient model designed for language identification across 23 Indic languages, built on top of XLM-RoBERTa.

    Python

  5. Kaggle_notebooks Kaggle_notebooks Public

    Competition notebooks

    Python

  6. LM-JEPA-for-Symbolic-Regression LM-JEPA-for-Symbolic-Regression Public

    Symbolic regression can be used to rapidly provide solutions to problems in science which may have large computational complexity or may even be intractable. Will explore language model joint embed…

    Jupyter Notebook