Alternatives and similar repositories for GTG

Users that are interested in GTG are comparing it to the libraries listed below

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 3 years ago
• DiffEqML / tutorials
  ☆10Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆51Updated 6 months ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• ml-jku / align-rudder
  Code to reproduce results on toy tasks and companion blog for the paper.
  ☆21Updated 3 years ago
• PAL-ML / PEARL_v1
  ☆30Updated 3 years ago
• CannyLab / causal_overhypotheses
  Code for Dataset and Benchmarks Submission, Neurips 2022
  ☆13Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆52Updated 4 years ago
• sharpenb / Uncertainty-Event-Prediction
  Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)
  ☆19Updated 5 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated 5 months ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• choidami / sst
  ☆50Updated 5 years ago
• yilundu / task_agnostic_dynamics_prior
  Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning
  ☆12Updated 6 years ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 9 months ago
• taDachs / Overview-of-Variational-Autoencoder-based-Generative-Models
  This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…
  ☆12Updated 4 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 3 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆22Updated 3 years ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆16Updated 2 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆21Updated 5 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 4 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago