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 8 months ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• PAL-ML / PEARL_v1
  ☆29Updated 3 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆24Updated 4 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 3 years ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated last year
• tianjunz / MADE
  ☆19Updated 3 years ago
• choidami / sst
  ☆49Updated 4 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• yilundu / task_agnostic_dynamics_prior
  Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning
  ☆12Updated 5 years 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
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆12Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• metabo-iclr2020 / MetaBO
  ☆15Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 6 years ago
• stelzner / supair
  Implementation of Sum-Product Attend-Infer-Repeat
  ☆30Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆19Updated 3 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 5 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 4 years ago