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- config.yml
- 200609_figure2_shared.ipynb
- 200609_figure3_and_tables_shared.ipynb
- 200609_figure4_shared.ipynb
- data_prep.ipynb
- README.md
- requirements.txt
- cnn.py
- lr.py
- README.md
- rnn.py
- train.py
- train_utils.py
- config.py
- dataset_utils.py
- inference_utils.py
- model_utils.py
- mutation_encoding.py
- residue_encoding.py
- README.md
- dqn_agent.py
- tf_agent.py
- abps_runners.py
- baseline_runners.py
- eval.py
- eval_independ.py
- hparam.py
- new_pymetrics.py
- py_hashed_replay_buffer.py
- py_uniform_replay_buffer.py
- README.md
- requirements.txt
- run.sh
- train.py
- train_independ.py
- __init__.py
- base.py
- depth.py
- depth_test.py
- fingerprint.py
- fingerprint_test.py
- linear.py
- linear_test.py
- shape.py
- shape_test.py
- __init__.py
- base.py
- random.py
- random_sequential.py
- random_sequential_test.py
- sequential.py
- __init__.py
- config.py
- main.py
- utils.py
- utils_test.py
- __init__.py
- block.py
- concrete.py
- model.py
- model_test.py
- subgraph.py
- subgraph_test.py
- utils.py
- __init__.py
- base.py
- enum_sequential.py
- enum_sequential_test.py
- graph.py
- graph_test.py
- primer_sequential.py
- prog_sequential.py
- prog_sequential_test.py
- random_enum_sequential.py
- sequential.py
- sequential_test.py
- __init__.py
- config.py
- perf_tools.py
- preprocess.py
- train.py
- train_test.py
- utils.py
- __init__.py
- cnn.py
- efficientnet.py
- efficientnet_test.py
- resnetv1.py
- resnetv1_test.py
- utils.py
- vit.py
- __init__.py
- README.md
- requirements.txt
- run.sh
- utils.py
- action_angle_flow.py
- action_angle_mlp.py
- euler_update.py
- action_angle_networks.ipynb
- chm_simulation.py
- main.py
- models.py
- orbit_simulation.py
- README.md
- requirements.txt
- run.sh
- scalers.py
- scalers_test.py
- shm_simulation.py
- train.py
- train_test.py
- mode_regression.ipynb
- mode_regression_nn.ipynb
- pendulum_collect_data.ipynb
- pendulum_train.ipynb
- __init__.py
- exponential_family.py
- l_norm.py
- layers_lib.py
- __init__.py
- collect_data.py
- demo.py
- evaluate.py
- README.md
- replay.py
- requirements.txt
- run.sh
- util.py
- value.py
- __init__.py
- ac_model.py
- utils.py
- similar_images_concepts.ipynb
- train.ipynb
- Dockerfile
- README.md
- setup.py
- aspest.json
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- average_kl_divergence_sampling.py
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- clue_sampling.py
- confidence_sampling.py
- entropy_sampling.py
- kcenter_greedy_sampling.py
- margin_sampling.py
- uniform_sampling.py
- tfds_amazon_review.py
- tfds_cinic10.py
- tfds_fmow.py
- tfds_otto.py
- data_util.py
- data_util_test.py
- general_util.py
- model_util.py
- model_util_test.py
- tf_util.py
- tf_util_test.py
- build_datasets.py
- build_datasets.sh
- eval_model.py
- eval_pipeline.py
- README.md
- requirements.txt
- run.sh
- run_mnist_to_svhn_exp.sh
- train.py
- learn_adaptive_learning_rate.py
- README.md
- requirements.txt
- resnet_model_fast.py
- run.sh
- AdaRank.ipynb
- data.py
- eval.py
- model.py
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- modules.py
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- predict_rank.py
- README.md
- requirements.txt
- train.py
- README.md
- requirements.txt
- rigid_body_adaptive_prediction.ipynb
- Adult_noisy_label.ipynb
- AUTHORS
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- README.md
- __init__.py
- README.md
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- clip_knn_service.py
- load_clip.py
- __init__.py
- annotator.py
- classifier.py
- components.py
- definitions.py
- deliberators.py
- diverse_sample.py
- image.py
- interaction.py
- llm.py
- manual_definition.py
- refine_definition.py
- reflection.py
- retrieval.py
- search_images.py
- utils.py
- .gitignore
- build_index.py
- Demo.ipynb
- indices_train.json
- README.md
- requirements.txt
- setup.sh
- arts-and-crafts_train_labels.csv
- astronaut_train_labels.csv
- emergency-service_test_labels.csv
- gourmet-tuna_train_labels.csv
- hair-coloring_test_labels.csv
- hand-pointing_test_labels.csv
- hand-pointing_train_labels.csv
- healthy-dish_test_labels.csv
- home-fragrance_train_labels.csv
- single-sneaker-on-white-background_test_labels.csv
- single-sneaker-on-white-background_train_labels.csv
- stop-sign_test_labels.csv
- arts-and-crafts_test_labels.csv
- astronaut_test_labels.csv
- block-tower_test_labels.csv
- block-tower_train_labels.csv
- dance_test_labels.csv
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- emergency-service_train_labels.csv
- gourmet-tuna_test_labels.csv
- hair-coloring_train_labels.csv
- healthy-dish_train_labels.csv
- home-fragrance_test_labels.csv
- in-ear-headphones_test_labels.csv
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- README.md
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- annotator.py
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- Demo.ipynb
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- sklearn_rf_model.py
- acquisition_functions.py
- tyk2_fep.csv
- utils.py
- README.md
- requirements.txt
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- large_margin_3-sized_LLP_LTF.py
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- README.md
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- __init__.py
- dataset.py
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- __init__.py
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- f_family.py
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- pytorch_util.py
- sampler.py
- __init__.py
- binary_data_prep.py
- do_fuzz.py
- main_varlen.py
- run_binary_data.sh
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- run_varlen.sh
- utils.py
- __init__.py
- dataset.py
- program_struct.py
- rfill_consts.py
- rfill_grammar.py
- rfill_grammar_short.py
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- __init__.py
- editor.py
- evaluate_editor.sh
- main_editor.py
- main_supervised.py
- run_editor.sh
- run_supervised.sh
- sampler.py
- seq_embed.py
- __init__.py
- main_varlen.py
- reverse_train.py
- run_varlen.sh
- utils.py
- __init__.py
- pylintrc
- README.md
- requirements.txt
- run.sh
- setup.py
- als.py
- batching_utils.py
- checkpoints.py
- dataset_utils.py
- multihost_utils.py
- README.md
- requirements.txt
- topk.py
- example.gin
- base_problem.py
- base_solver.py
- controller.py
- data.py
- deep_evolution_solver.py
- deep_evolution_solver_test.py
- domains.py
- README.md
- requirements.txt
- run.py
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- simple_ising_model.py
- simple_ising_model_test.py
- utils.py
- dataset_comparison.png
- episode_1.png
- episode_2.png
- README.md
- ex0.png
- ex1.png
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- action_matching.py
- action_type.py
- demo.ipynb
- README.md
- requirements.txt
- visualization_utils.py
- github_appendix_fig.png
- README.md
- anthea-eval.css
- anthea-eval.js
- anthea-help.html
- anthea-lite.html
- anthea-manager.css
- anthea-manager.js
- anthea-staging-lite.html
- anthea.html
- README.md
- template-base.js
- template-mqm-cd.js
- template-mqm-image.js
- template-mqm-monolingual.js
- template-mqm-quality-score.js
- template-mqm-shared-source.js
- template-mqm-source-media.js
- template-mqm-speech-to-speech.js
- template-mqm-sxs.js
- template-mqm-target-first.js
- template-mqm-webpage.js
- template-mqm.js
- test-document-as-segment.js
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- test-mqm-tgt1st.js
- test-mqm.js
- test-paragraph.js
- test-rtl.js
- Figure_2_Machine_learning_guided_aptamer_discovery_(submission).ipynb
- Figure_3_Machine_learning_guided_aptamer_discovery_(submission).ipynb
- Figure_4_Machine_learning_guided_aptamer_discovery_(submission).ipynb
- Aptamer_TF_models_for_pub.pdf
- config.py
- create_binned_and_super_bin_labels.ipynb
- custom_ops.cc
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- data.py
- dataset_stats.py
- eval_feedforward.py
- feedforward.py
- output_layers.py
- playbook.md
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- train_feedforward.py
- utils.py
- merge_measurements.cc
- merge_measurements.h
- merge_measurements_main.cc
- clustering.py
- fastq_to_sstable.py
- preprocess_walkthrough.md
- scam_featurize.cc
- scam_featurize.h
- scam_featurize_main.cc
- sequencing_counts.py
- utils.py
- search.proto
- search.py
- search_inference.py
- search_pipeline.py
- walkers.py
- pool.py
- utils.py
- aptamer.proto
- dna.py
- io_utils.py
- measurement.proto
- search.py
- selection.proto
- selection.py
- README.md
- README.md
- actor.py
- builder.py
- config.py
- learning.py
- networks.py
- README.md
- requirements.txt
- run_aquadqn.py
- utils.py
- wrappers.py
- dataset_evaluation.py
- dataset_evaluation_test.py
- metrics.py
- metrics_test.py
- optimize_ara.py
- optimize_ara_test.py
- README.md
- requirements.txt
- run_experiment.py
- synthetic_data_exports.py
- synthetic_dataset.py
- synthetic_dataset_test.py
- util.py
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- arithmetic_sample.gin
- decoding.py
- decoding_test.py
- README.md
- requirements.txt
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- __init__.py
- assemblenet.py
- assemblenet_plus.py
- assemblenet_plus_lite.py
- charades_assemblenet.png
- model_structures.py
- peer_attention.png
- README.md
- rep_flow_2d_layer.py
- requirements.txt
- result_image.png
- run.sh
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- __init__.py
- ap_parsing_finetune_config.yaml
- augmentation_config.py
- base_ap_parsing_model_config.yaml
- base_ap_parsing_task_config.yaml
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- __init__.py
- ap_parsing_dataloader.py
- ap_parsing_lib.py
- ap_parsing_task.py
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- ap_parsing_utils_test.py
- ap_problems_action_items_annotator.py
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- augmentation_lib.py
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- constants.py
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- eval_lib.py
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- pred_lib.py
- tokenizer_lib.py
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- mimic_note_section_markers.json
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- README.md
- test_tags.csv.gz
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- cavs.py
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- README.md
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- feature_metadata.py
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- featureImage.png
- GithubAutomatedFeatureEngineering_Demo.ipynb
- README.md
- requirements.txt
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- trainer.py
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- .bazelversion
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- BUILD
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- WORKSPACE
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- sc09.py
- sc09_upscale.py
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- checksums.tsv
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- linear_best.gin
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- evaluate_full.py
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- requirements.datagen.txt
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- augmentations.py
- class_map.json
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- README.md
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- template_train_and_infer.ipynb
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- Eiffel_tower.jpg
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- cam.py
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- __init__.py
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- tfrecord_image_generator.py
- __init__.py
- all_reduce_benchmark.py
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- allreduce.py
- allreduce_test.py
- batch_allreduce.py
- benchmark_cnn.py
- benchmark_cnn_distributed_test.py
- benchmark_cnn_distributed_test_runner.py
- benchmark_cnn_test.py
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- cnn_util_test.py
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- datasets.py
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- mlperf.py
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- preprocessing.py
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- requirements.txt
- run.sh
- conv-tasnet.png
- masking_network.png
- mix.png
- pcen.png
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- clean.wav
- enhanced.wav
- enhanced_vocoded.wav
- enhanced_vocoded_fine_time.wav
- noisy.wav
- audio_to_electrodogram.ipynb
- README.md
- speech_enhancement_inference.ipynb
- yamnet_speech_enhancement_mixing.ipynb
- coc_demo.ipynb
- Experiment_ HumanEval Benchmark.ipynb
- Experiment_ Reactive Controllers on Toy Tasks.ipynb
- Experiment_ Reasoning with Code vs Natural Language.ipynb
- Experiment_ Robot Code-Gen Benchmark.ipynb
- Interactive_Demo.ipynb
- LMP Examples.ipynb
- lmpc_demo.ipynb
- README.md
- overview_of_codi.jpg
- overview_of_codi.png
- performance.png
- teaser.jpg
- args.py
- train_codi_flax.py
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- __init__.py
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- __init__.py
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- Zway_test.tfrecords
- __init__.py
- decoder.py
- feature_neighborhood_decoder.py
- feature_neighborhood_encoder.py
- feature_neighborhood_flags.py
- feature_neighborhood_input.py
- feature_neighborhood_input_test.py
- feature_neighborhood_model.py
- feature_neighborhood_model_base.py
- feature_neighborhood_model_config.py
- feature_neighborhood_model_trans.py
- feature_neighborhood_tensor_opts.proto
- feature_neighborhood_tensor_opts_pb2.py
- keras_interface_layer.py
- keras_interface_layer_test.py
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- trainer.py
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- __init__.py
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- requirements.txt
- AUTHORS
- main.py
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- __init__.py
- dataset_with_corruption.py
- dataset_with_indices.py
- dataset_with_selection.py
- __init__.py
- m3.py
- ra3.py
- rm3.py
- __init__.py
- AUTHORS
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- imagenet_generate_subset.py
- imagenet_main.py
- README
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- overview_cola.png
- constants.py
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- data.py
- main.py
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- run.sh
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- diagnostics.py
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- ensemble.py
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- frn.py
- frn_test.py
- keras_utils.py
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- prior.py
- prior_test.py
- priorfactory.py
- priorfactory_test.py
- sgmcmc.py
- sgmcmc_test.py
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- imdb_data.py
- imdb_model.py
- cnnlstm_test_accuracy_full_run.png
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- datasets.py
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- plot_results.ipynb
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- requirements.txt
- 10.yaml
- sales_es.yaml
- all_es.yaml
- 10_tuned.yaml
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- crn.yaml
- crn_noncausal_troff.yaml
- ct.yaml
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- gnet.yaml
- msm.yaml
- rmsn.yaml
- foods_household_5k.yaml
- foods_household_5k_srctest.yaml
- 0-3_all.yaml
- 0-3_all_srctest.yaml
- cancer_sim.yaml
- cancer_sim.yaml
- config.yaml
- train_enc_dec.py
- train_gnet.py
- train_msm.py
- train_multi.py
- train_rep_est.py
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- baselines.sh
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- __init__.py
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- dataset.py
- __init__.py
- load_data.py
- real_dataset.py
- __init__.py
- load_data.py
- real_dataset.py
- semi_synthetic_dataset.py
- utils.py
- __init__.py
- dataset_collection.py
- __init__.py
- encoder.py
- __init__.py
- encoder.py
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- ct.py
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- rep_est.py
- __init__.py
- crn.py
- ct.py
- edct.py
- gnet.py
- msm.py
- rmsn.py
- time_varying_model.py
- utils.py
- utils_lstm.py
- utils_transformer.py
- __init__.py
- utils.py
- __init__.py
- __init__.py
- ckpt.py
- dataset_instructions.md
- environment.yml
- README.md
- autoint_utils.py
- batch_generator.py
- dllp_main.py
- preprocessing.py
- selfclr_llp_main.py
- supervised_main.py
- autoint_utils.py
- batch_generator.py
- dllp_main.py
- preprocessing.py
- selfclr_llp_main.py
- supervised_main.py
- AUTHORS
- README.md
- annotations.tar.gz
- gemini1.5pro_SI_baseline.json
- gemini1.5pro_SI_baseline_aud2text_conv_all_H.json
- gemini1.5pro_SI_baseline_aud2text_conv_all_rea_H.json
- gemini1.5pro_SI_baseline_aud2text_conv_graph_H.json
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- gemini2.5pro_SI_baseline_aud2text_conv_all_H.json
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- gemini2.5pro_SI_baseline_aud2text_conv_graph_H.json
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- run.sh
- evaluation.py
- main.py
- main_baseline.py
- config.json
- phi4_video_audio_SI_baseline.py
- phi4_video_audio_SI_baseline_audio2text_conv_all.py
- phi4_video_audio_SI_baseline_audio2text_conv_all_graph.py
- run.sh
- data.py
- generate_data.sh
- config.json
- evaluation_res.py
- README.md
- requirements.txt
- cryptos_data_gen.py
- m4_data_gen.py
- traj_data_gen.py
- test.npy
- train.npy
- data_analysis.py
- data_classes.py
- eval_metrics.py
- models.py
- normalizer.py
- train_utils.py
- args.py
- evaluation.py
- README.md
- requirements.txt
- run.sh
- run_exp.sh
- run_koopman.py
- analysis_constants.py
- autoint_embedding_generator.py
- feature_analysis.py
- feature_analysis.sh
- label_analysis.py
- label_analysis.sh
- result_collector.py
- sscl_embedding_generator.py
- creation_constants.py
- feature_bag_ds_creation.py
- feature_bag_ds_creation.sh
- fixed_size_feature_bag_ds_creation.py
- fixed_size_feature_bag_ds_creation.sh
- random_bag_ds_creation.py
- random_bag_ds_creation.sh
- preprocess.py
- preprocess_constants.py
- full_vecs.py
- mean_map.sh
- mean_map_constants.py
- partial_sums.py
- pismatrix.py
- dataset_generator.py
- feature_bags_train.sh
- fixed_size_feature_bags_train.sh
- losses.py
- network.py
- random_bags_train.sh
- train.py
- train_constants.py
- README.md
- requirements.txt
- run.sh
- matricesforgenbag.py
- matrixformethod6.py
- matrixformethod7.py
- method1loopseeded.py
- method2loopseeded.py
- method3loopseeded.py
- method4loopseeded.py
- method5loopseeded.py
- method6loopseeded.py
- method7loopseeded.py
- processing_genbag_results.py
- processing_mutcon_results.py
- processing_r_results.py
- australianloops.py
- heartloops.py
- ionosphereloops.py
- RCodeMethod1.R
- RCodeMethod2.R
- RCodeMethod3.R
- RCodeMethod4.R
- RCodeMethod5.R
- RCodeMethod6.R
- RCodeMethod7.R
- bagsformethod5.py
- clusteringbagsmethodseeded.py
- clusteringloopseeded.py
- fivefoldsplits.py
- preprocessingdata.py
- singlestraddlebag.py
- twostraddlebags.py
- requirements.txt
- feature_bucketing.py
- train_test_splits_bags.py
- gen_bag_SDP.py
- bag_loop.py
- lin_loop.py
- requirements.txt
- preprocessing_movielens20m.py
- train_test_splits_bags_movielens20m.py
- gen_bag_SDP_movielens20m.py
- bag_loop_movielens20m.py
- lin_loop_movielens20m.py
- requirements.txt
- AUTHORS
- dataCreation.sh
- GenBagCode.sh
- Large_Dataset_2_expts.sh
- Large_Dataset_expts.sh
- PythCode.sh
- RCode.sh
- README.md
- resultsProcessing.sh
- example.json.gz
- example.gz
- example.csv
- article_data.py
- CONTRIBUTING.md
- get_citation_relations.py
- get_merge_paper_metadata.py
- README.md
- requirements.txt
- run.sh
- augment_data.py
- evaluate.py
- math_utils.py
- prompt.py
- README.md
- requirements.txt
- run.sh
- train.py
- utils.py
- code-of-conduct.md
- contributing.md
- finetuning.py
- README.md
- requirements.txt
- run.sh
- selftraining.py
- US-1.yaml
- US-1.yaml
- US-1.yaml
- US-1.yaml
- smoke_1.yaml
- smoke_2.yaml
- __init__.py
- evidence_cleaning.py
- llm_handler.py
- llm_retry_handler.py
- module_00_setup.py
- module_01_trends.py
- module_04_events.py
- module_05_initial_events.py
- module_06_peak_discovery.py
- module_07_cross_validation.py
- task_runtime.py
- utils.py
- __init__.py
- env.example
- event_pipeline.py
- orchestrator.py
- pyproject.toml
- README.md
- requirements.txt
- run.sh
- __init__.py
- audio_utils.py
- augmentations.py
- box_utils.py
- config.py
- config_utils.py
- data.py
- gemma_box_utils.py
- losses.py
- matcher.py
- metrics.py
- trainer.py
- visualization_utils.py
- gemma4_config.py
- gemma_audio_config.py
- gemma_config.py
- gemma_text_sft_config.py
- mms_asr_config.py
- whisper_asr_config.py
- base.py
- decoders.py
- decoders_test.py
- factory.py
- factory_test.py
- gemma_audio.py
- gemma_audio_test.py
- gemma_text.py
- gemma_text_test.py
- gemma_vision.py
- gemma_vision_test.py
- mms.py
- mms_test.py
- owl.py
- owl_test.py
- whisper.py
- whisper_test.py
- audio_utils_test.py
- augmentations_test.py
- box_utils_test.py
- config_test.py
- data_test.py
- detection_trainer_test.py
- losses_test.py
- matcher_test.py
- metrics_test.py
- sft_trainer_test.py
- trainer_test.py
- base.py
- detection.py
- factory.py
- convert_coco_json_to_hf_dataset.py
- example_config.py
- main.py
- main_lib.py
- README.md
- requirements.txt
- run.sh
- USER_GUIDE.md
- workflow.ipynb
- .gitignore
- __init__.py
- CONTRIBUTING.md
- LICENSE
- README.md
# Installation Guide
pythonSetup Steps
git clone [email protected]:google-research/google-research.git --depth=1
Clone the repository using a shallow clone.
cd google-research
Navigate to the project root directory.
Key Commands
pip install -r requirements.txt
Install Python dependency packages required for the project.
# Use via CDN
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Commands referenced in this DOCs, explained below.
git clone
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git clone
Clone an existing repository.
git clone {{remote_repository_location}} {{path/to/directory}}
Clone an existing repository into a new directory (the default directory is the repository name):
git clone --recursive {{remote_repository_location}}
Clone an existing repository and its submodules:
git clone {{[-n|--no-checkout]}} {{remote_repository_location}}
Clone only the `.git` directory of an existing repository:
