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Florent Amato's Projects

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kbe icon kbe

Kubernetes By Example

keras-resources icon keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

knowledge-repo icon knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

kubernetes-gpu-guide icon kubernetes-gpu-guide

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

labs icon labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

landscape icon landscape

🌄The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding or market cap, first and last commits, contributor counts, headquarters location, and recent tweets.

lc3-vm icon lc3-vm

Write your own virtual machine for the LC-3 computer!

learn-anything icon learn-anything

Organize world's knowledge, explore connections and curate learning paths

learn-awesome icon learn-awesome

Humanity's universal skills graph. Curated lists of awesome learning resources on various topics categorized by formats, difficulty, estimated time etc.

learn-gpgpu icon learn-gpgpu

Algorithms implemented in CUDA + resources about GPGPU

learn-seo icon learn-seo

:mag: Learn search engine optimisation :sparkles:

learn-to-program icon learn-to-program

Educational resources to learn to program (Foundation in Web Development)

learn-tt icon learn-tt

A collection of resources for learning type theory and type theory adjacent fields.

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