XM
PyTorch Code for Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
파일 탐색기
최종 버전 다운로드 (.zip)- banner_xm.png
- __init__.py
- imagenet_dataloader.py
- img_synthetic_dataloader.py
- __init__.py
- ai2arc_dataloader.py
- bigbench_dataloader.py
- collator.py
- fineweb_dataloader.py
- get_dataset_statistics.py
- gsm8k_dataloader.py
- lambada_dataset.py
- pajama_dataloader.py
- planbench_dataloader.py
- squad_dataloader.py
- synthetic_dataset.py
- k400.txt
- ssv2.txt
- __init__.py
- data_preprocessor.py
- kinetics_dataloader.py
- preencode_feature_extractor.py
- README.md
- something_dataloader.py
- vid_synthetic_dataset.py
- __init__.py
- adm_in256_stats.npz
- adm_in64_stats.npz
- online_fid_eval_callback.py
- lm_harness.py
- online_lm_eval_callback.py
- fvd.py
- fvd.py
- fvd.py
- pytorch_i3d.py
- __init__.py
- lpips.py
- pretrained_networks.py
- trainer.py
- .gitignore
- __init__.py
- calculate_fvd.py
- calculate_fvd_tensorflow.py
- calculate_lpips.py
- calculate_psnr.py
- calculate_ssim.py
- demo.py
- README.md
- test_fvd_limits.py
- __init__.py
- online_fvd_eval_callback.py
- __init__.py
- dit.sh
- ot_dit.sh
- xdit.sh
- xjumpy.sh
- baseline_transformer.sh
- example_h100.slurm
- xdit_128.sh
- xjumpy_128.sh
- __init__.py
- diffusion_utils.py
- gaussian_diffusion.py
- respace.py
- timestep_sampler.py
- __init__.py
- flow_matching.py
- ot_coupling.py
- scheduler.py
- dit_cc.py
- jumpy_cc.py
- __init__.py
- baseline_transformer.py
- mdlm.py
- __init__.py
- dit_wm.py
- jumpy_wm.py
- __init__.py
- modules.py
- patch_embed.py
- pos_embs.py
- __init__.py
- ar_transformer.py
- bi_transformer.py
- diffusion_transformer.py
- jumpy.py
- model_utils.py
- video_transformer_3d.py
- __init__.py
- decoder.py
- utils.py
- __init__.py
- dinov2.py
- mae.py
- siglip2.py
- __init__.py
- rae.py
- __init__.py
- ATTRIBUTION.md
- __init__.py
- cache_latents.py
- dataloader_debugger.py
- find_corrupt_files.py
- metrics_calculator.py
- text_logger.py
- .gitignore
- abbreviations.md
- base_model_trainer.py
- LICENSE
- optimization.py
- README.md
- requirements.txt
- slurm_executor.sh
- train_model.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/alexiglad/XM
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd XM
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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