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Hello , I'm Sushmanth Reddy! πŸ‘‹

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About MeπŸ˜‡

  • 🏫 I'm a Electronics and Communication (ECE) Undergraduate(2020-2024)

  • πŸ’» I'm currently exploring deep learning(computer vision) and ML

  • πŸ—£ Pronouns: He/His/Him

  • Trying to learn about neural networks and transformers . πŸ‘Ύ

  • Working on different datasets on kaggle and problem solving from codeforces

  • πŸ”­ Currently Working on Earthquake induced landslides, trying to make a machine learning model, which predicts realtime induced landslides.


python javascript c++ git

pytorch numpy pandas jupyter

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sushmanth reddy's Projects

llm-vm icon llm-vm

LLM infrastructure for developers

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

lucid icon lucid

A collection of infrastructure and tools for research in neural network interpretability.

medsam icon medsam

The official repository for MedSAM: Segment Anything in Medical Images.

models icon models

Off-the-shelf models for a variety of domains

optimum icon optimum

πŸš€ Accelerate training and inference of πŸ€— Transformers and πŸ€— Diffusers with easy to use hardware optimization tools

qcanet icon qcanet

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

query-engine-vector icon query-engine-vector

Implemented vector embeddings on the dataset and store them in Qdrant a vector DB. Implemented LLM on the DB that can give contextual answers to the queries. Wraped this LLM as an API using FastAPI and streamlit frontend

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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