Alternatives and similar repositories for multi_task_neural_processes:

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

• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 8 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• kyungmnlee / RenyiCL
  Contrastive self-supervised learning using Rényi divergence
  ☆12Updated 2 years ago
• hankook / CLEL
  ☆15Updated 2 years ago
• jihoontack / SiMT
  Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)
  ☆23Updated 2 years ago
• MingyuKim87 / NPwSA
  Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…
  ☆10Updated 2 years ago
• jinxu06 / metafun-tensorflow
  Code for "MetaFun: Meta-Learning with Iterative Functional Updates"
  ☆14Updated 4 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆76Updated 7 months ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated 2 years ago
• AMLab-Amsterdam / FNP
  Implementation of the Functional Neural Process models
  ☆43Updated 4 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 weeks ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 5 months ago
• wgrathwohl / VERA
  ☆64Updated last year
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆72Updated 5 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆21Updated 3 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• ermongroup / fairgen
  Fair Generative Modeling via Weak Supervision
  ☆20Updated 2 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• bbuing9 / DND
  Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)
  ☆13Updated last year
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 5 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 3 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• vsimkus / torch-reparametrised-mixture-distribution
  PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
  ☆19Updated last year