google-deepmind/ferminet

Issues

• Upstream breaking change in `kfac-jax`

  #70 opened 7 months ago by gcassella
  0

• Extension of PBC code to 1D

  #63 opened 8 months ago by eliasteve
  7

• kfac_jax error when running H2 example script

  #69 opened 8 months ago by eliasteve
  2

• Different results obtained from the paper for ch3nh2

  #68 opened 10 months ago by lamthuy
  2

• Something went wrong in RepeatedDenseBlock.update_curvature_matrix_estimate

  #67 opened 10 months ago by JustusvLiebig
  2

• Issue on running pytest

  #62 opened a year ago by SLZ0106
  5

• Evaluating logprob using batch_network in train

  #61 opened a year ago by Baiyu-Su
  1

• Question About load Checkpoint

  #60 opened a year ago by ZiciuCanJustus
  1

• About configs

  #59 opened a year ago by qetuo2
  3

• nan when training with 'adam'

  #57 opened 2 years ago by lzx0106
  1

• The proper way to cite FermiNet repo

  #47 opened 2 years ago by connection-on-fiber-bundles
  1

• Ground State Energies

  #51 opened 2 years ago by EyalRozenberg1
  2

• Question about pbc ewald part.

  #52 opened 2 years ago by GiantElephant123
  2

• unable to setup

  #46 opened 2 years ago by AndrewHo1998
  1

• how to reconstruct a ferminet?

  #6 opened 4 years ago by ley61
  13

• Jax error running on A100 GPU (everything is okay on CPU)

  #45 opened 2 years ago by ltz0120
  2

• AttributeError: module 'jax.core' has no attribute 'extract_call_jaxpr'

  #44 opened 2 years ago by draxelsen
  1

• Jax install - issue with correct version number

  #43 opened 2 years ago by Dehavendrew
  1

• Question about exact_cusp function

  #38 opened 2 years ago by ley61
  1

• How does training time scale w.r.t. model size?

  #41 opened 2 years ago by haydnv
  1

• Installation Error

  #39 opened 3 years ago by prayshah99
  7

• about the ferminet

  #37 opened 3 years ago by KingDamLiu
  2

• install eeror

  #36 opened 3 years ago by KingDamLiu
  3

• NaN during training

  #22 opened 3 years ago by n-gao
  8

• How to reproduce the results for Neon. JAX.

  #34 opened 3 years ago
  3

• how to make JAX code run on single GPU instead of TPU?

  #33 opened 3 years ago
  2

• ValueError: Using default_file_mode other than 'r' is no longer supported. Pass the mode to h5py.File() instead. JAX branch.

  #32 opened 3 years ago
  1

• Variance of a converged model

  #29 opened 3 years ago by n-gao
  7

• Pretraining with `full_det=True`

  #27 opened 3 years ago by n-gao
  5

• Issues with KFAC on multiple GPUs

  #26 opened 3 years ago by connection-on-fiber-bundles
  8

• KFAC Open sourcing

  #24 opened 3 years ago by n-gao
  8

• Why local_energy is not jit'ed?

  #21 opened 3 years ago by connection-on-fiber-bundles
  3

• which distribution is used in the pretrain phase?

  #14 opened 3 years ago by connection-on-fiber-bundles
  3

• Issues (or typos?) when running JAX code with multiple GPUs

  #16 opened 3 years ago by connection-on-fiber-bundles
  6

• An issue regarding multi-node training with TF code

  #15 opened 3 years ago by connection-on-fiber-bundles
  4

• Does Adam Optimization depend on batch size?

  #11 opened 3 years ago by fancunwei95
  3

• JAX implementation of the derivatives of log determinents

  #8 opened 3 years ago by connection-on-fiber-bundles
  1

• Error in set-up

  #9 opened 3 years ago by ph7klw76
  2

• minimize depends on batch size?

  #10 opened 3 years ago by fancunwei95
  1

• Questions about the convergence

  #7 opened 4 years ago by ley61
  5

• Will log_determinant return inf for singular matrices?

  #5 opened 4 years ago by xlvector
  1

• problem about multi_gpu flag

  #4 opened 4 years ago by ley61
  2