lollcat/fab-torch

Issues

• Jupyter/Colab Notebook for Alanine Dipeptide

  #54 opened a year ago by VincentStimper
  0

• feat: many well evaluation

  #73 opened a year ago by lollcat
  0

• feat: re-run GMM and Many Well experiments to make sure they are working nicely

  #77 opened a year ago by lollcat
  0

• feat: Add valid samples abstraction

  #74 opened a year ago by lollcat
  0

• feat: clean configs

  #76 opened 2 years ago by lollcat
  0

• Add defensive importance sampling

  #60 opened 2 years ago by lollcat
  1

• Ability to pick alpha in fab alpha divergence loss

  #61 opened 2 years ago by lollcat
  1

• Code efficiency improvements

  #45 opened 2 years ago by lollcat
  0

• Prioritised replay improvements

  #58 opened 2 years ago by lollcat
  0

• GMM improvements

  #44 opened 3 years ago by lollcat
  2

• fix: ais geometric spacing

  #51 opened 3 years ago by lollcat
  0

• add val.pt to experiments/aldp/data

  #46 opened 3 years ago by meyerml
  2

• Implement random shuffling for mini-batches

  #25 opened 3 years ago by lollcat
  0

• BNNs

  #22 opened 3 years ago by lollcat
  0

• Get aladine dipeptide example working with FAB

  #10 opened 3 years ago by lollcat
  0

• Benchmarking

  #2 opened 3 years ago by lollcat
  0

• Cleaning

  #5 opened 3 years ago by lollcat
  0

• Improve sample efficiency

  #6 opened 3 years ago by lollcat
  0

• Create sample based test set for many well problem.

  #20 opened 3 years ago by lollcat
  0

• Make runnable by Vincent's resampled-base-flows lib

  #4 opened 3 years ago by lollcat
  0

• Add HMC mass matrix

  #17 opened 3 years ago by lollcat
  1

• Implement more losses

  #14 opened 3 years ago by lollcat
  0

• Replicate results on GMM and 16 dim Many Well

  #7 opened 3 years ago by lollcat
  0

• Add Boltzmann distribution to target distributions

  #8 opened 3 years ago by VincentStimper
  1

• Initial architecture setup

  #1 opened 3 years ago by lollcat
  0