Berlin, Germany

Antonio Rueda-Toicen

Elite
@andandandand

AI Engineer

practical-computer-vision. Practical Computer Vision Bootcamp with notebooks, quizzes, and videos

195

progressive-mesh-reduction-with-edge-collapse. Minimize the number of polygons to create a 3D mesh

28

OACC. Repository for the Online Algorithmic Complexity Calculator

15

image-dataset-curation. Tutorial on image dataset curation

13

intro-to-pytorch. Jupyter Notebook

11

model-deployment-workshop. Deployment of a PyTorch image classifier using Docker, ONNX, and FastAPI

8

1d-continuous-cellular-automata. Mathematica

6

ImageAnalysisWithAlgorithmicInformation. Estimate the Kolmogorov complexity of grayscale images and weighted graphs

6

Network-Robustness-by-Kolmogorov-Complexity. Estimation of the robustness of networks to attacks directed using Kolmogorov complexity as estimated by the Block Decomposition Method.

5

evolution-rules-of-deterministic-ca-for-multichannel-brain. CUDA GPU programs and Matlab invocation scripts for variations on the GrowCut cellular automaton.

5

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

3

fractal-dimension-of-brain-tumors-w-box-counting-algo. Tutorial on computing fractal dimension through 3D box counting

3

fiftyone-getting-started. Jupyter Notebook

3

images-for-colab-notebooks. Jupyter Notebook

2

ImageSegmentationOnlineCourse. Online course on modern image segmentation techniques

2

EPI-1. Selected problems from Elements of Programming Interviews in Python

2

saucy. Graph automorphisms with Saucy

2

search-of-complex-binary-ca. Mathematica

2

algorithms. Minimal examples of data structures and algorithms in Python

2

DSR_ML_Fundamentals_2023. Repository for the 2023 edition of the Machine Learning Fundamentals course, held quarterly at the Data Science Retreat.

1

computer-vision-dsr. Jupyter Notebook

1

python-machine-learning-book-2nd-edition. The "Python Machine Learning (2nd edition)" book code repository and info resource

1

feature-engineering-book. Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

1

Kaggle-Carvana-3rd-Place-Solution. 3rd place solution ( Carvana Image Masking Challenge )

1

natural-language-processing. Resources for "Natural Language Processing" Coursera course.

1

MinimalAlgorithmicInformationLoss. R

1

airmedfoundation-terminal. Airmed Foundation's IPFS + Hyperledger Fabric web client

1

ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

1

Python-3-DS. Jupyter Notebook

1

MILS2D. R

1

awesome-public-datasets. A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

1

ML_Fundamentals. Fundamentals of Machine Learning Course at DSR

1

pytorch-examples. Simple examples to introduce PyTorch

1

practicalAI. A practical approach to learning machine learning.

1

data-product-management-exercises.

1

MILS. Mathematica

1

conv_arithmetic. A technical report on convolution arithmetic in the context of deep learning

1

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

1

l33tc0d3. Leetcode drills

1

CSV-datasets. Jupyter Notebook

1

DeepLearning-DSR. Content for the Deep Learning Course at the Data Science Retreat, Berlin - November 2020

1

deep-reinforcement-learning. Repo for the Deep Reinforcement Learning Nanodegree program

1

PyTorchAndFastAISetupGoogleCloud. Setting up PyTorch 1.0 and Fast.ai on the Google Cloud Platform

1

non-deteministic-finite-automaton-parsing. Java

1
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