Alternatives and similar repositories for meta_sequential_prediction:

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

• ibm-research-tokyo / diffsnn
  An implementation of a differentiable point process and a differentiable spiking neural network.
  ☆20Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 8 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆32Updated 5 years ago
• astirn / MV-Kumaraswamy
  ☆13Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated 2 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• cunningham-lab / igr
  ☆31Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• hankook / CLEL
  ☆15Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated 2 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 2 years ago
• makora9143 / deterministic-variational-inference-pytorch
  ☆13Updated 6 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆28Updated last year
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated 11 months ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 3 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆46Updated last year
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• mfinzi / residual-pathway-priors
  ☆18Updated 3 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆45Updated last year
• dimkal89 / rvae
  ☆38Updated 4 years ago
• yperugachidiaz / invertible_densenets
  ☆24Updated 4 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago