Google AI Research

This repository contains code released by Google AI Research.

Disclaimer: This is not an official Google product.

Name		Name	Last commit message	Last commit date
Latest commit History 310 Commits
arxiv_latex_cleaner		arxiv_latex_cleaner
attribution		attribution
bam		bam
batch_science		batch_science
bitempered_loss		bitempered_loss
capsule_em		capsule_em
cluster_gcn		cluster_gcn
cnn_quantization		cnn_quantization
codistillation		codistillation
correct_batch_effects_wdn		correct_batch_effects_wdn
dac		dac
deep_homography		deep_homography
demogen		demogen
depth_from_video_in_the_wild		depth_from_video_in_the_wild
dictionary_learning		dictionary_learning
dql_grasping		dql_grasping
dreg_estimators		dreg_estimators
edward2_autoreparam		edward2_autoreparam
eeg_modelling		eeg_modelling
eim		eim
enas_lm		enas_lm
evolution		evolution
explaining_risk_increase		explaining_risk_increase
extrapolation		extrapolation
fat		fat
frechet_audio_distance		frechet_audio_distance
frechet_video_distance		frechet_video_distance
genomics_ood		genomics_ood
graph_embedding		graph_embedding
hierarchical_foresight		hierarchical_foresight
hybrid_zero_dynamics		hybrid_zero_dynamics
interpretability_benchmark		interpretability_benchmark
large_margin		large_margin
learnreg		learnreg
linear_dynamical_systems		linear_dynamical_systems
m_theory		m_theory
meta_reward_learning		meta_reward_learning
micronet_challenge		micronet_challenge
microscope_image_quality		microscope_image_quality
model_pruning		model_pruning
moew		moew
mol_dqn		mol_dqn
motion_blur		motion_blur
mutual_information_representation_learning		mutual_information_representation_learning
neutra		neutra
nopad_inception_v3_fcn		nopad_inception_v3_fcn
norml		norml
probabilistic_vqvae		probabilistic_vqvae
psycholab		psycholab
qanet		qanet
r4r		r4r
recursive_optimizer		recursive_optimizer
representation_similarity		representation_similarity
resolve_ref_exp_elements_ml		resolve_ref_exp_elements_ml
robust_loss		robust_loss
rouge		rouge
schema_guided_dst		schema_guided_dst
simple_probabilistic_programming		simple_probabilistic_programming
simulation_research		simulation_research
solver1d		solver1d
sorb		sorb
sparse_data		sparse_data
state_of_sparsity		state_of_sparsity
sufficient_input_subsets		sufficient_input_subsets
task_specific_learned_opt		task_specific_learned_opt
tcc		tcc
time_varying_optimization		time_varying_optimization
towards_gan_benchmarks		towards_gan_benchmarks
uncertainties		uncertainties
unprocessing		unprocessing
uq_benchmark_2019		uq_benchmark_2019
value_function_polytope		value_function_polytope
vbmi		vbmi
wiki_split_bleu_eval		wiki_split_bleu_eval
yeast_transcription_network		yeast_transcription_network
.gitignore		.gitignore
.travis.yml		.travis.yml
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
compile_protos.sh		compile_protos.sh

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yencarnacion/google-research

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