aidanscannell
Postdoctoral Researcher at Aalto University | Aalto Robot Learning Lab | Machine Learning Research Group | Finnish Center for Artificial Intelligence
Aalto UniversityHelsinki, Finland
Pinned Repositories
sfr
PyTorch implementation of Sparse Function-space Representation of Neural Networks
GPJax
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
iqrl
iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning
lane-detection
Lane and vehicle detection software for an autonomous vehicle.
ModeRL
Mode-constrained model-based-reinforcement learning in TensorFlow/GPflow
mogpe
Mixtures of Gaussian Process Experts in GPflow/TensorFlow
my-org-resume
Personal CV/Resume written in Org-mode with the LaTeX AltaCV template.
pilco-tensorflow
PILCO - Probabilistic Inference for Learning COntrol
reproducible-research-project-template
Template for writing reproducible machine learning papers
trajectory-optimisation-in-learned-multimodal-dynamical-systems
Trajectory optimisation in learned multimodal dynamical systems via latent-space collocation - JAX.
aidanscannell's Repositories
aidanscannell/my-org-resume
Personal CV/Resume written in Org-mode with the LaTeX AltaCV template.
aidanscannell/pilco-tensorflow
PILCO - Probabilistic Inference for Learning COntrol
aidanscannell/trajectory-optimisation-in-learned-multimodal-dynamical-systems
Trajectory optimisation in learned multimodal dynamical systems via latent-space collocation - JAX.
aidanscannell/probabilistic-modelling
This repository contains Jupyter notebooks containing both the theory and implementation of several probabilistic machine learning models.
aidanscannell/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
aidanscannell/ModeOpt
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
aidanscannell/MoGPJaxE
Mixtures of Gaussian Process Experts in JAX with custom state management.
aidanscannell/.dotfiles
My dotfiles
aidanscannell/academic-kickstart
My personal website powered by the Hugo Academic theme.
aidanscannell/ansible-playbook-volumio-bluetooth
Pair your phone and stream audio to a Raspberry Pi running Volumio
aidanscannell/approximate-inference
This work implements and compares a variety of approximate inference techniques for the tasks of image restoration (de-noising) and image segmentation.
aidanscannell/bar
A status bar widget for Ubersicht on OS X
aidanscannell/bellman
Model-based reinforcement learning in TensorFlow
aidanscannell/chewymacs
My personal Emacs configuration inspired by David Wilson's config, Spacemacs and Doom Emacs.
aidanscannell/dotfiles-1
The path to GNUrvana
aidanscannell/drqv2
DrQ-v2: Improved Data-Augmented Reinforcement Learning
aidanscannell/GPflowSampling
Code for efficiently sampling functions from GP(flow) posteriors
aidanscannell/GPy
Gaussian processes framework in python
aidanscannell/gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
aidanscannell/jax-rl
JAX implementations of core Deep RL algorithms
aidanscannell/manipulator-kinematics
aidanscannell/minima
Minima is a one-size-fits-all Jekyll theme for writers.
aidanscannell/mode-remaining-exploration-for-model-based-reinforcement-learning
aidanscannell/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
aidanscannell/reveal.js
The HTML Presentation Framework
aidanscannell/spacehammer
Hammerspoon config inspired by Spacemacs
aidanscannell/tensor_annotations
Annotating tensor shapes using Python types
aidanscannell/UoB-beamer-theme
A LaTeX Beamer theme for the University of Bristol
aidanscannell/vimpc
Trajectory optimisation as variational inference
aidanscannell/yabai
A tiling window manager for macOS based on binary space partitioning