Alternatives and similar repositories for PyTorch_OLoptim

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

• networkslab / rnn_flow
  ☆23Updated 4 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆29Updated 9 months ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• eth-sri / probabilistic-forecasts-attacks
  ☆29Updated 2 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆11Updated 5 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆26Updated 7 months ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆60Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated 2 years ago
• ChengzijunAixiaoli / PPMM
  Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]
  ☆15Updated 4 years ago
• Jiacheng-Zhu-AIML / Neural-Processes
  This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
  ☆19Updated 4 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆95Updated 3 months ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• huangwb / LDS-toolbox
  LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling
  ☆13Updated 7 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• asonabend / ESRL
  Code for Expert Supervised Reinforcement Learning
  ☆10Updated 4 years ago
• daizhongxiang / Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping
  Bayesian Optimization Meets Bayesian Optimal Stopping
  ☆32Updated 4 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• sharpenb / Differentiable-DAG-Sampling
  Differentiable DAG Sampling (ICLR 2022)
  ☆37Updated 2 years ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 6 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆26Updated last year
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated last year
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• diningphil / graph-mixture-density-networks
  Official Repository of "Graph Mixture Density Networks" (ICML 2021)
  ☆26Updated 2 years ago
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆89Updated 4 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆95Updated 3 years ago