Alternatives and similar repositories for phd-thesis:

Users that are interested in phd-thesis are comparing it to the libraries listed below

• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 5 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆17Updated 7 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 4 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆22Updated 6 years ago
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 6 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• sdicastro / KOVA
  Kalman Optimization for Value Approximation
  ☆10Updated 4 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 6 years ago
• xuedong / machine-learning-summer-schools
  Curated materials for different machine learning related summer schools
  ☆19Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 5 months ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 5 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago