dtretiak
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Incompressible Navier-Stokes solver
Reservoir-computing based associative memory and itinerancy for complex dynamical attractors
Implementation of the Temporal Basis Function Model
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic…
Controlling extreme energy events in turbulent flow (2D Kolmogorov flow)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Scientific colormaps for making accessible, informative and 'cmashing' plots
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum h…
Season 2 of @twosigma's artificial intelligence programming challenge
Collect and classify python projects on Github (deprecated)
Implementation of Q-Learning to learn optimal q-table of "Taxi-v2 Open AI Gym" and use it to solve the environment.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A Collection of application ideas which can be used to improve your coding skills.
Curated list of project-based tutorials
