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Enjoy Coding and Eating Good Food.
🏠
Enjoy Coding and Eating Good Food.
  • New Delhi, India

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Anurich/README.md
  • 👋 Hi, I’m @Anupam
  • 👀 I’m interested in AI
  • 🌱 I’m currently learning Control theory
  • 💞️ I’m looking to collaborate on Any AI related project
  • 📫 How to reach me [email protected]

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  1. TransformerIsAllYouNeed TransformerIsAllYouNeed Public

    This repository contains code for two key projects: Encoder-Decoder Architecture: Implements the Transformer architecture described in "Attention Is All You Need." Custom BERT Replica: A customized…

    Python 1

  2. FineTuningLLMsWithDPO FineTuningLLMsWithDPO Public

    This project discusses the complete pipeline, of creating an end-to-end system of finetuning the LLMs, with PEFT STTF and DPO. This project explanation is also available in the medium article which…

    Jupyter Notebook 2 1

  3. Welcome_my_friend_to_india_with_langgraph Welcome_my_friend_to_india_with_langgraph Public

    My friends are visiting from Europe to India. Since we all studied together in the same university and took the same courses, I would say we're a bit techy. While being a good host is one way to we…

    Python

  4. Active-Learning-With-MLflow Active-Learning-With-MLflow Public

    This repository shows how we can use Active Learning with MLflow. In this experimentation I utilise Active Learning to train Sentiment Analysis task , and use MLFlow to do the experiment tracking, …

    Jupyter Notebook

  5. Self-Driving-Car Self-Driving-Car Public

    In this work, I try to implement simple CNN model to predict the steering angle of car given image from front camera i.e. center. It's an end to end learning approach from nvidia published in 2016 …

    Python 1

  6. Quaternion-Neural-Network Quaternion-Neural-Network Public

    Forked from soto323/Quaternion-Neural-Network

    When dealing with multi-channelinputs (e.g., color images), the convolution kernels merges these channels by summing up the convolution results and output one single channel per kernel accordingly.…

    Jupyter Notebook 1