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  • India
  • 20:12 (UTC -12:00)

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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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davnish/README.md

Hey there :)

I'm Nischal. 👾

I train models on

geospatial 🌏

  • UAV/Satellite Imagery (RGB & Multispectral)
  • Point Cloud

non-geospatial 🖼️

  • Images (RGB)
  • Videos

for tasks such as detection, segmentation, classification :)

📕 Publications

  • 'Evaluation of Segment Anything Model (SAM) for Automated Labeling in Machine Learning Classification of UAV Geospatial Data' Published in Journal Earth Science Informatics. Read Here

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  1. smart_dino smart_dino Public

    solving chrome's dino using DQN

    Python

  2. rasvec rasvec Public

    A geospatial data handling library.

    Python 2

  3. pointnet2 pointnet2 Public

    This is repo is the pytorch implementation of the papers pointnet and pointnet++

    Python 2

  4. smart_cartpole-v1 smart_cartpole-v1 Public

    Implementing DeepQNetwork and Q learning on gymnasium CartPole-V1 env.

    Python

  5. transpeare transpeare Public

    This is a transformer model built from scratch. Which is trained on shakespearian text. Transformer+Shakespeare = transpeare

    Jupyter Notebook

  6. bigram_model bigram_model Public

    This is a notebook for a simple bigram model. We will built a statistical model and a neural network from scratch

    Jupyter Notebook