WenjieDu / PyPOTS

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• test_new_strategy
• (action)add_issue_manager
• (action)failed_greeting
• (action)update_stale_exempt_labels
• (action)update_staling_and_pr_template
• (depen)add_sentencepiece
• (depen)version_updates
• (docs)update
• (feat)ANOD_ImputeFormer
• (feat)ANOD_PatchTST
• (feat)ANOD_SegRNN
• (feat)ANOD_autoformer
• (feat)CLAS_Autoformer
• (feat)CLAS_PatchTST
• (feat)FORE_DLinear
• (feat)FORE_FiLM
• (feat)FORE_MICN
• (feat)FORE_ModernTCN
• (feat)FORE_SegRNN
• (feat)IMPU_output_reconstruction
• (feat)add_ANOD_DLinear
• (feat)add_ANOD_Reformer
• (feat)add_ANOD_SCINet
• (feat)add_ANOD_TimeMixerPP
• (feat)add_CLAS_predict_proba
• (feat)add_TOTEM
• (feat)add_TSLANet
• (feat)add_TimeMIxerPP
• (feat)add_clas_itransformer
• (feat)add_clas_saits
• (feat)add_clas_tefn
• (feat)add_clas_timesnet
• (feat)add_clas_ts2vec
• (feat)add_dependabot
• (feat)add_fore_timesnet
• (feat)add_forecasting_algos
• (feat)add_gpt4ts
• (feat)add_moment
• (feat)add_ts2vec
• (feat)customized_loss_and_val_func
• (feat)enable_amp
• (feat)enable_full_test
• (feat)omit_llm_when_saving
• (fix)CLAS_TEFN
• (fix)TimeLLM_attr_err
• (fix)TimesNet_overwriting
• (fix)bug_attr_training_in_predict
• (fix)calc_criterion_not_callable_on_multigpu
• (fix)clas_eval_label_bug
• (fix)data_mode_not_on_same_device
• (fix)failed_crli_usgan_koopa
• (fix)mode_state_copy
• (fix)not_applied_customized_loss
• (fix)not_consistent_devices
• (fix)pandas2_pickle_load_err
• (fix)timemixer
• (fix)timemixer_channel_independence_forecasting
• (fix)timemixer_clas_typo
• (refact)formally_distinguish_set_dataset_dataloder
• (refactor)torch_warning
• (refactor)unify_train_model_func
• (test)decrease_anomaly_rate
• (test)make_CI_run_on_ubuntu_only
• (test)testing_TimeLLM_OOM
• (test)update_CI_config
• daily_test
• dev
• fix-CSDI.predict-unused-n_sampling_times
• fix/quantile-loss
• fix_daily_testing
• fix_dependency_error_in_daily_testing
• full_test
• main
• refactoring
• refs/heads/dev
• refs/heads/main
• release_v0.12
• temp_test_branch
• test_daily_testing
• yang-dev

feat: don't limit to install torch-cpu;