Mathieu Guillame-Bert ~ Achoum

⛩ We're thrilled to unveil Temporian, our new open-source Python library for temporal data processing, developed in collaboration with @Google. Tackle time series challenges head-on! tryolabs.com/blog/tryolabs-…

Working with temporal can be challenging! That's where Temporian comes in, the new library for pre-processing and feature engineering temporal data. It makes it easy to clean and prepare your data for forecasting. Learn how to get started 👇 goo.gle/44Rvddf

🦾#TensorFlowDecisionForests is now production ready. Check out all the new features such as distributed training, hyper-parameter tuning, and training in Google Sheets ➡️ goo.gle/3YtQyak

I made a small wooden #remotecontrol car🚙 Check github.com/achoum/remote_… #rccar #diy #remotecontrolcar #toys

@TensorFlow Congratulations on the whole team!🦉

🎉To make ML accessible beyond ML experts, we’ve released Simple ML for Sheets. #SimpleMLForSheets is an add-on for Google Sheets from the TensorFlow team that can help make machine learning accessible to all without programming or ML expertise. Try it→ goo.gle/sml

🎲🌳 Decision Forests are a family of Machine Learning algorithms that are very good on structure data like tables, csv and sheets Among the most popular algorithms in this family there is the Random Forest one Let's take a look at how it works… 👇

Imagine a #roguelike where each NPC has a rich, collaborative and unique behavior, maybe thanks to #machinelearning. For fun, here is an agent (@) with a small perception field controlled by a #neuralNetwork and trained with a #geneticAlgorithm to push coins ($) into chests (+).

Reduce the amount of code required to prepare your dataset with TensorFlow decision forest models. ✌️ Learn all about decision forests, and why they’re so popular at Google, via this migration guide from @mat_gb and @random_forests → goo.gle/3J7yqKE

🌲 Introducing TensorFlow Decision Forests, a new library you can use to train popular models like Random Forests and Gradient Boosted Trees easily with Keras. Learn more → goo.gle/3hZtZI2

@fchollet And if you have some cool demos or applications, don't hesitate to share it with us :) #TensorFlowDecisionForests #TensorFlow #Keras

Did you know you can now train TensorFlow Decision Forests models with the Keras API? tensorflow.org/decision_fores…

A cool experiment on how different Decision Forest algorithms learn a 2D ellipse pattern using the new #TensorFlowDecisionForest library 🌲🌳🌴 Colab: github.com/achoum/ellipse…

Made a "Couch Tracker" to measure how much time I spend in front of the tv :) github.com/achoum/couch-t… #Arduino #DIY #healthylifestyle

@kreedainteract @IndieGameHerald Thanks :) I am super happy you liked it!

I've released Dust: The Abandoned Land v0.5.0 with Online multiplayer, the Training Area and new "Start with your family" scenario. I hope you'll enjoy it 😀! dust.mathieu.guillame-bert.com #dust #dust_abandoned_land #roguelike #pixelart #indiedev #indiegame #freegame

more information is not always more informative #dust #dust_abandoned_land #indiedev #indiegame

@hemebond @edaqa @NetworkIndie The version v0.4.1 released today uses LWJGL3 and it is compatible with last versions of OpenJDK on Linux. Hopefully, your error screen should be gone :) dust.mathieu.guillame-bert.com/change_log

@hemebond @edaqa @NetworkIndie Thanks for the bug report :). It seems LWJGL2 (the openGL wrapper) is not compatible with openjdk>=11 (and the error is similar to the one reported). I'll make an update to LWJGL3. In the meantime, openjdk-8 is the solution: stackoverflow.com/questions/5703…

Dust : The Abandoned Land v0.4.0 is out! Try it at: #v0.4.0" target="_blank" rel="nofollow noopener">dust.mathieu.guillame-bert.com/change_log#v0.… #dust #dust_abandoned_land #roguelike #pixelart #indiedev #indiegame

@edaqa @NetworkIndie Thanks for the bug report! The problem has been fixed :). Lesson learned: Make sure to enable buffering with php:readfile.