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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by ondrejbiza
A curated list of projects in awesome lists by ondrejbiza .
https://github.com/ondrejbiza/bandits
Comparison of bandit algorithms from the Reinforcement Learning bible.
machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/racetrack
An environment for tabular Reinforcement Learning agents.
machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/action_priors
Source code for Action Priors for Large Action Spaces in Robotics. Biza, Wang, Platt, van de Meent, Wong. AAMAS'21.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/action_attention_iclr_22
Source code for "Binding Actions to Objects in World Models. Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong and Thomas Kipf. ICLR 2022 workshop on Objects, Structure and Causality."
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/negative-sampling-icml-21
Original source code for "The Impact of Negative Sampling on Contrastive Structured World Models. O Biza, E van der Pol, T Kipf. ICML'21 SSL workshop."
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/discrete_abstractions
Source code for Learning Discrete State Abstractions With Deep Variational Inference. Biza, Platt, van de Meent, Wong. AABI'21. https://arxiv.org/abs/2003.04300
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/aamas_19
Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".
aamas abstraction deep-learning deep-neural-networks reinforcement-learning reinforcement-learning-algorithms
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/machine_intelligence_course
Tensorflow tutorials.
computer-vision deep-learning machine-learning tensorflow tensorflow-tutorials
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/tf_calibrate
Calibration of neural networks in Tensorflow.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/mdp_abstraction
Algorithms for minimization of Markov Decision Processes.
machine-learning markov-decision-processes minimization reinforcement-learning reinforcement-learning-algorithms
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/mcmc
Markov Chain Monte Carlo methods.
mcmc mcmc-sampler metropolis-hastings probability sampling statistics
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/model_transfer
Replication of Transfer with Model Features in Reinforcement Learning -- Lehnert et al., 2018.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/vae
Variational autoencoders implemented in Tensorflow.
deep-learning deep-neural-networks tensorflow variational-autoencoders vq-vae
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/deep_learning_course
Deep Learning course at the Czech Technical University in Prague.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/tfset
Interactive Tensorflow training.
deep-learning deep-neural-networks machine-learning tensorflow tensorflow-experiments
Last synced: 21 Dec 2024
https://github.com/ondrejbiza/pgm
Exercises from the Probabilistic Graphical Models: Principles and Techniques book.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/symbolic_models
Examples of symbolic models defined in PDDL.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/uncertain-mnist
Replication of Yarin Gal's Bayesian Deep Learning paper on MNIST.
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/drl_gym
Deep Reinforcement Learning gym.
deep-neural-networks deep-reinforcement-learning openai-gym reinforcement-agents reinforcement-learning tensorflow tensorflow-experiments
Last synced: 10 Nov 2024
https://github.com/ondrejbiza/nnn
Numpy Neural Nets - a simple Deep Learning framework built on top of numpy.
deep-learning deep-learning-framework educational neural-network
Last synced: 10 Nov 2024