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  • American Express
  • Gurgaon, India
  • 15:28 (UTC -12:00)

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  1. tiny-gpt-from-scratch tiny-gpt-from-scratch Public

    Build a small character-level GPT end-to-end in pure NumPy, starting from tokenization and array basics and ending with multi-head self-attention, Adam, and sampling. Each step grows the same codeb…

    Python

  2. neural-networks-from-scratch-forward-and-backward neural-networks-from-scratch-forward-and-backward Public

    Implement a complete neural network stack from scratch in NumPy: finite-difference gradient checks, dense and activation layers, loss, sequential composition, optimizers, and a training loop that o…

    Python

  3. build-a-trainable-cnn-from-scratch-in-numpy build-a-trainable-cnn-from-scratch-in-numpy Public

    Assemble a LeNet-style convolutional network entirely in NumPy, from numerically stable softmax and im2col-based convolutions all the way to an Adam-driven training loop. By the end you will have e…

    Python

  4. deep-ml deep-ml Public

    My machine learning practice from Deep-ML: solutions, labs and progress.

    Python

  5. divergence-strategy-stocks-nse divergence-strategy-stocks-nse Public

    Interactive NSE charting notebook with multi-timeframe candles, corporate-action adjustments, and RSI divergence analysis.

    Jupyter Notebook

  6. Gender-Biasing-Algorithm Gender-Biasing-Algorithm Public

    This project is used to find the percentage of gender biasedness in a sentence based on the data provided

    Python