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Leopoldo Mauro photo

leomauro Goto Github PK

followers: 4.0 following: 3.0 repos: 160.0 gists: 1.0

Name: Leopoldo Mauro

Type: User

Company: Universidad Simón Bolívar

Bio: Ph.D. Computational Neurobiology. Senior CS Prof. (40 years): Technology, Languages, Parsing & Compiling, Operating Systems. Researcher: AI and ANNs.

Location: Caracas, Venezuela

Leopoldo Mauro's Projects

aicore icon aicore

The artificial intelligence code accompanying the book "Artificial Intelligence for Games"

alive-progress icon alive-progress

A new kind of Progress Bar, with real time throughput, ETA and very cool animations!

annabell icon annabell

A cognitive neural architecture able to learn and communicate through natural language

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blocklyml icon blocklyml

BlocklyML is a simple visual programming Tool for python and ML. Built on Google Blockly

blocks icon blocks

A Theano framework for building and training neural networks

canova icon canova

General Vectorization Lib for Machine Learning Tools

ccv icon ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

cdb icon cdb

A Machine-Independent Debugger

codet5 icon codet5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

codon icon codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

cpdf icon cpdf

A script to simplify compressing PDF file size with GhostScript

cyclone-physics icon cyclone-physics

The Physics engine that accompanies the book "Game Physics Engine Design"

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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