MikeDiaz93

MikeDiaz93

Geek Repo

Company:Kubo Financiero

Location:Mexico City

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MikeDiaz93's repositories

Basic-Business-Data-Templates-for-Requierements

Basic and useful templates for Business Data Requirements.

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Meme-Generator

Udacity Intermediate Python Nanodegree, Project 2: Meme Generator.

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Near-Earth-Objects

Udacity Intermediate Python Nanodegree, Project 1: Near Earth Objects.

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-Landmark-Classification-Tagging-for-Social-Media-

Deep Learning Nanodegree, Project 2: Landmark Classification.

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applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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around-dataengineering

A Data Engineering & Machine Learning Knowledge Hub

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awesome-cli-apps

πŸ–₯ πŸ“Š πŸ•Ή πŸ›  A curated list of command line apps

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

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coding-interview-university

A complete computer science study plan to become a software engineer.

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Data-Science-Cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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Deforestatio_Exploration

Udacity SQL, Project 1: Deforestation Exploration.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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homemade-machine-learning

πŸ€– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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keepsake

Version control for machine learning

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LibroPython

Libro de Python Intermedio en EspaΓ±ol, traducido de 'intermediatePython'

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Machine-Learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

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machine-learning-experiments

πŸ€– Interactive Machine Learning experiments: πŸ‹οΈmodels training + 🎨models demo

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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ML_Resources

GitHub Repo with various ML/AI/DS resources that I find useful

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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nd0821-c2-build-model-workflow-starter

Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program

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Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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Python

All Algorithms implemented in Python

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reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

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tensorflow

An Open Source Machine Learning Framework for Everyone

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