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  1. papers Public

    Summaries of papers read, starting from early 2020

    TeX 10

  2. awesome-optimizers Public

    Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

    Jupyter Notebook 48 11

  3. somnium Public

    Model explainability and high dimensional visualisation library for Python based on Self-Organising-Maps

    Python 4

  4. simple_chatbot Public

    A simple chatbot implementation using RNNs in a Fully Visible Belief Network architecture

    Python 1

  5. simplestELM Public

    A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)

    Python 21 10

  6. RL_Banana_Collector Public

    PyTorch Deep Q-Networks solution for Banana Collection in a Large Square Environment using UnityEnvironments

    Jupyter Notebook

28 contributions in the last year

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Activity overview

Loading A graph representing ivallesp's contributions from December 24, 2023 to December 24, 2024. The contributions are 92% commits, 8% issues, 0% pull requests, 0% code review.   Code review 8% Issues   Pull requests 92% Commits

Contribution activity

December 2024

11 contributions in private repositories Dec 2 – Dec 10
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