simontamayo

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

cartpole

OpenAI's cartpole env solver.

covid-19

Novel Coronavirus 2019 time series data on cases

darknet

Convolutional Neural Networks

Dash_Tutorial_Series

Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.

demo_artistic_neural_networks

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: Most of this demo was adapted from the PyTorch tutorial on Style Transfer (https://pytorch.org/tutorials/advanced/neural_style_tutorial.html), which explains how to implement the Neural-Style algorithm developed by L. A. Gatys, A. S. Ecker and M. Bethge.

demo_latent_semantic_analysis_reddit

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: Most of this demo was adapted from the work of @nicolaskruchten (from DataCratic), the original version of his code can be found at http://opensource.datacratic.com/mtlpy50/.

demo_using_mask_rcnn

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: This demo was adapted from the Matterport tutorial on Mask_RCNN which implements Mask R-CNN. Mask R-CNN efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance (developed by K. He, G, Gkioxari, P. Dollár & R. Girshick from Facebook AI Research).

dolly_stg

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

face_recognition

The world's simplest facial recognition api for Python and the command line

simontamayo/demo_artistic_neural_networks

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: Most of this demo was adapted from the PyTorch tutorial on Style Transfer (https://pytorch.org/tutorials/advanced/neural_style_tutorial.html), which explains how to implement the Neural-Style algorithm developed by L. A. Gatys, A. S. Ecker and M. Bethge.

simontamayo/demo_using_mask_rcnn

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: This demo was adapted from the Matterport tutorial on Mask_RCNN which implements Mask R-CNN. Mask R-CNN efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance (developed by K. He, G, Gkioxari, P. Dollár & R. Girshick from Facebook AI Research).

simontamayo/face_recognition

The world's simplest facial recognition api for Python and the command line

simontamayo/boruta_py

Python implementations of the Boruta all-relevant feature selection method.

simontamayo/cartpole

OpenAI's cartpole env solver.

simontamayo/covid-19

Novel Coronavirus 2019 time series data on cases

simontamayo/darknet

Convolutional Neural Networks

simontamayo/Dash_Tutorial_Series

Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.

simontamayo/demo_latent_semantic_analysis_reddit

This tutorial is one of the demos used in the course “Introduction to Machine Learning” at MINES ParisTech - PSL Research University, lectured by Simon Tamayo. Acknowledgement: Most of this demo was adapted from the work of @nicolaskruchten (from DataCratic), the original version of his code can be found at http://opensource.datacratic.com/mtlpy50/.

simontamayo/dolly_stg

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

simontamayo/first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

simontamayo/keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

simontamayo/or-gym

Environments for OR and RL Research

simontamayo/plotly_dataviz

Data visualization in python using Plotly

simontamayo/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

simontamayo/pySankey

create sankey diagrams with matplotlib

simontamayo/text2art

AI-powered Text-to-Art Generator - Text2Art.com

simontamayo/tutorial_agents

simontamayo/tutorial_rl

This repository proposes a tutorial on reinforced learning for beginners where the main concepts of this type of learning are introduced in a straightforward and applied way. A Python application of the Q-learning algorithm is implemented to solve a "maze-world" problem.