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Hi 👋, I'm David Mora

A Computer Science @ National University of Colombia. I'm passionate about Deep Learning, its mathematical theory and applications in language, vision and more recently audio.

  • 🔭 I’m currently learning about:

    • nanogpt, I've been following Andrej Karpathy's Zero to Hero youtube series.
    • LLaMA 2, Alpaca, Falcon LLMs, mostly through HF.
    • peft HF library.
    • ggml also whisper.cpp and llama.cpp.
    • Tinygrad.
    • Semantic segmentation of Satellite Images.
      • GLNet, Ultra High resolution Satellite images.
  • 👯 I’m looking to collaborate on Kaggle competitions and cool NLP and CV deep learning projects.

  • 📫 If you want to chat about some project, you can reach me through my email [email protected] or LinkedIn.

David Mora's Projects

algorithmic-efficiency icon algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

aoc2020 icon aoc2020

AoC 2020 Java solutions. Not the most efficient but gets the job done.

aoc2021 icon aoc2021

Advent of Code 2021 Python solutions

argilla icon argilla

✨ Argilla: Open-source platform empowering teams to build better language models through human feedback

bicisegura icon bicisegura

Aplicación móvil de servicios múltiples para bici-usuarios

cil_survey icon cil_survey

The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.

commavq icon commavq

commaVQ is a dataset of compressed driving video

compilers-22 icon compilers-22

Coursework for the Compliers course at Universidad Nacional de Colombia

dinov2-knn icon dinov2-knn

PyTorch code and models for the DINOv2 self-supervised learning method.

ebnerd-benchmark icon ebnerd-benchmark

Ekstra Bladet Recommender System repository for benchmarking the EBNeRD dataset.

enigma icon enigma

Enigma is a web-based cryptography tool that allows you to encrypt, decrypt, and attack texts and images using a variety of classic and modern ciphers, including block ciphers.

facil icon facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

fctl icon fctl

[ICCV 2021] "From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation" by Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He

flask-blog icon flask-blog

Simple Flask blog application user-authentication and basic blog features.

glnet icon glnet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

ivy icon ivy

The Unified AI Framework

land_cover_classification_unet icon land_cover_classification_unet

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

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