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Types & classes47 in github.com/alexhernandezgarcia/gflownet

↓ 6 callersClassAMP
Anti-microbial peptide sequence environment
gflownet/envs/amp.py:19
↓ 6 callersClassCrystal
Crystal environment for ionic conductivity
gflownet/envs/crystals.py:15
↓ 3 callersClassConformerBase
gflownet/utils/molecule/conformer_base.py:43
↓ 3 callersClassSpaceGroup
SpaceGroup environment for ionic conductivity. The state space is the combination of three properties: 1. The crystal system (https://en
gflownet/envs/spacegroup.py:20
↓ 3 callersClassUniform
gflownet/proxy/uniform.py:6
↓ 2 callersClassData
playground/botorch/mes_var_deepKernel.py:22
↓ 2 callersClassLargeFeatureExtractor
playground/botorch/mes_var_deepKernel.py:62
↓ 2 callersClassMolDGLFeaturizer
A class for converting RDKit molecule into DGL graph with featurizing chemical properties into node and edge features
gflownet/utils/molecule/featurizer.py:7
↓ 2 callersClassOracle
gflownet/utils/oracle.py:41
↓ 2 callersClassPolicy
gflownet/gflownet.py:1085
↓ 1 callersClassAlanineDipeptide
Simple extension of 2d continuous torus where reward function is defined by the energy of the alanine dipeptide molecule
gflownet/envs/alaninedipeptide.py:15
↓ 1 callersClassAtomPositionsDataset
gflownet/utils/molecule/atom_positions_dataset.py:5
↓ 1 callersClassBuffer
Implements the functionality to manage various buffers of data: the records of training samples, the train and test data sets, a replay buffe
gflownet/envs/base.py:538
↓ 1 callersClassConformer
gflownet/utils/molecule/conformer.py:17
↓ 1 callersClassDKLModel
playground/botorch/mes_var_deepKernel.py:101
↓ 1 callersClassExactGPModel
playground/botorch/mes_gp_debug.py:24
↓ 1 callersClassGFlowNetAgent
gflownet/gflownet.py:29
↓ 1 callersClassGPRegressionModel
playground/botorch/mes_exact_deepKernel.py:59
↓ 1 callersClassGPRegressionModel
playground/botorch/mes_var_deepKernel.py:75
↓ 1 callersClassLargeFeatureExtractor
playground/botorch/mes_exact_deepKernel.py:42
↓ 1 callersClassNN_Model
playground/botorch/mes_nn_bao_fix.py:67
↓ 1 callersClassNN_Model
playground/botorch/mes_nn_like_gp.py:67
↓ 1 callersClassNN_Model
playground/botorch/mes_nn_hardcode_gpVal.py:65
↓ 1 callersClassNN_Model
playground/botorch/mes_nn_like_gp_nondiagonalcovar.py:68
↓ 1 callersClassTorchANIMoleculeEnergy
gflownet/proxy/molecule.py:52
↓ 1 callersClassXTBMoleculeEnergy
gflownet/oracle/molecule.py:11
↓ 1 callersClassmyGPModel
playground/botorch/mes_gp_debug.py:58
↓ 1 callersClassmyGPModel
playground/botorch/mes_exact_deepKernel.py:143
↓ 1 callersClassmyGPModel
playground/botorch/mes_var_deepKernel.py:194
ClassAMPOracleWrapper
gflownet/proxy/amp.py:7
ClassAptamers
DNA Aptamer oracles
gflownet/proxy/aptamers.py:8
ClassAptamers
Aptamer sequence environment
gflownet/envs/aptamers.py:14
ClassContinuousTorus
Purely continuous (no discrete actions) hyper-torus environment in which the action space consists of the increment Delta theta of the angle
gflownet/envs/ctorus.py:15
ClassCorners
It is assumed that the state values will be in the range [-1.0, 1.0].
gflownet/proxy/corners.py:7
ClassGFlowNetEnv
Base class of GFlowNet environments
gflownet/envs/base.py:17
ClassGrid
Hyper-grid environment Attributes ---------- ndim : int Dimensionality of the grid length : int Size of the gri
gflownet/envs/grid.py:13
ClassHybridTorus
Continuous (hybrid: discrete and continuous) hyper-torus environment in which the action space consists of the selection of which dimension d
gflownet/envs/htorus.py:19
ClassLogger
Utils functions to compute and handle the statistics (saving them or send to wandb). It can be passed on to querier, gfn, proxy, ... to get t
gflownet/utils/logger.py:13
ClassPlane
Hyperplane environment (continuous version of a hypergrid) in which the action space consists of the increment of dimension d, modelled by a
gflownet/envs/plane.py:15
ClassProxy
Generic proxy class
gflownet/proxy/base.py:10
ClassRFMoleculeEnergy
gflownet/proxy/molecule.py:21
ClassSequence
Anti-microbial peptide sequence environment Attributes ---------- max_seq_length : int Maximum length of the sequences
gflownet/envs/sequence.py:18
ClassTorus
gflownet/proxy/torus.py:6
ClassTorus
Hyper-torus environment Attributes ---------- ndim : int Dimensionality of the torus n_angles : int Number of a
gflownet/envs/torus_rounds.py:11
ClassTorus
Hyper-torus environment in which the action space consists of: - Increasing the angle index of dimension d - Decreasing the angle
gflownet/envs/torus.py:14
Classbcolors
gflownet/utils/legacy.py:163
ClassresultsPlotter
gflownet/utils/legacy.py:561