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.travis.yml
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sudo: required
dist: trusty
language: python
git:
depth: 10
quiet: true
python:
- "3.6"
env:
matrix:
- PROJECT="abps"
- PROJECT="albert"
- PROJECT="algae_dice"
- PROJECT="attribution"
- PROJECT="axial"
- PROJECT="bam"
- PROJECT="bisimulation_aaai2020"
- PROJECT="bitempered_loss"
- PROJECT="cfq"
- PROJECT="cnn_quantization"
- PROJECT="dataset_analysis"
- PROJECT="dense_representations_for_entity_retrieval"
- PROJECT="depth_from_video_in_the_wild"
- PROJECT="dql_grasping"
- PROJECT="dreg_estimators"
- PROJECT="dual_pixels"
- PROJECT="dvrl"
- PROJECT="edward2_autoreparam"
- PROJECT="evanet"
- PROJECT="explaining_risk_increase"
- PROJECT="extrapolation"
- PROJECT="fat"
- PROJECT="genomics_ood"
- PROJECT="generalized_rates"
- PROJECT="graph_embedding/watch_your_step"
- PROJECT="hmc_swindles"
- PROJECT="igt_optimizer"
- PROJECT="large_margin"
- PROJECT="learnreg"
- PROJECT="m_theory"
- PROJECT="meta_reward_learning/semantic_parsing"
- PROJECT="meta_reward_learning/textworld"
- PROJECT="moew"
- PROJECT="moment_advice"
- PROJECT="neutra"
- PROJECT="nigt_optimizer"
- PROJECT="norml"
- PROJECT="opt_list"
- PROJECT="pairwise_fairness"
- PROJECT="probabilistic_vqvae"
- PROJECT="property_linking"
- PROJECT="protoattend"
- PROJECT="psycholab"
- PROJECT="rl4circopt"
- PROJECT="rllim"
- PROJECT="robust_loss"
- PROJECT="sm3"
- PROJECT="soft_sort"
- PROJECT="solver1d"
- PROJECT="state_of_sparsity"
- PROJECT="stacked_capsule_autoencoders"
- PROJECT="stochastic_to_deterministic"
- PROJECT="storm_optimizer"
- PROJECT="sufficient_input_subsets"
- PROJECT="tabnet"
- PROJECT="tcc"
- PROJECT="truss_decomposition"
- PROJECT="towards_gan_benchmarks"
- PROJECT="wiki_split_bleu_eval"
before_script:
- sudo apt-get update -qq
- pip install --upgrade pip
- pip install --upgrade virtualenv
script:
- ./$PROJECT/run.sh