Skip to content

Navigation Menu

Sign in
Sign up
@SushmitaSingh96
SushmitaSingh96
Follow

Sushmita Singh SushmitaSingh96

Technology enthusiast, always looking to learn the latest and upcoming tech trends. Python 5-star coder on HackerRank.
  • Germany

Block or report SushmitaSingh96

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

Pinned Loading

  1. GraphRAG_Evaluation GraphRAG_Evaluation Public

    Evaluation of GraphRAG retrieval performance on German tax law data using customized LLM pipelines and HPC infrastructure.

    Python 1

  2. Chronicles Chronicles Public

    Forked from Susmithareddya/Chronicles

    Knowledge Transfer AI Agent. AI-powered storytelling assistant that captures knowledge through natural conversation, organises it into structured dashboards, and monetises via B2B knowledge-transfe...

    TypeScript

  3. safe-wander-backend safe-wander-backend Public

    SafeWander is a travel safety companion that helps users explore how safe a place feels through community experiences. It aggregates real safety discussions from Reddit and uses a language model to...

    Python

  4. Climate-induced-Disasters--Germany Climate-induced-Disasters--Germany Public

    Forked from jvalue/made-template

    Studying links between temperature anomalies and natural disasters in Germany through data engineering and analysis.

    TeX

  5. Sound_Recognition_-_Cancellation Sound_Recognition_-_Cancellation Public

    Selective sound cancellation using YAMNet and DeepFilterNet — built as part of the "Programming with Large Language Models" seminar.

    Jupyter Notebook 1

  6. Credit_Card_fraud_Detection_dataset_solution Credit_Card_fraud_Detection_dataset_solution Public

    Applied undersampling and oversampling (SMOTE, Tomek Links) to build and compare ML models for credit card fraud detection.

    Jupyter Notebook

AltStyle によって変換されたページ (->オリジナル) /