PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders / augmentations, and reference training / validation scripts that aim to pull together a wide variety of SOTA models with…
mobilenetv3_small_100.lamb_in1kefficientvim_m4_dist.in1kefficientvim_m4.e450_in1kefficientvim_m4.e300_in1kefficientvim_m3_dist.in1kefficientvim_m3.e450_in1kefficientvim_m3.e300_in1kefficientvim_m2_dist.in1kefficientvim_m2.e450_in1kefficientvim_m2.e300_in1kefficientvim_m1_dist.in1kefficientvim_m1.e450_in1kefficientvim_m1.e300_in1kiformer_t.in1kiformer_s.in1kiformer_m_distilled.in1kiformer_m.in1kiformer_l_distilled.in1kiformer_l.in1kiformer_l2_distilled.in1klowformer_e2.in1klowformer_e1.in1klowformer_b1.in1klowformer_b0.in1klcnetv2_small.paddle_in1klcnetv2_large.paddle_in1klcnetv2_base.ssld_in1klcnetv2_base.paddle_in1kcpubone_b1_dwnorm.timm_r256_in1kcpubone_t0.r224_in1kcpubone_s0.r224_in1kcpubone_nano.r224_in1kcpubone_b2_bfrobust.r224_in1kcpubone_b1_bfrobust.r224_in1kcpubone_b0_bfrobust.r224_in1kvit_base_patch14_reg1_tipsv2.webligemma4_vit_167m_enc.gemma4_e4b_itgemma4_vit_167m.gemma4_e4b_itcsatv2.r512_in1kcsatv2_21m.sw_r640_in1kcsatv2_21m.sw_r512_in1kvit_little_patch16_reg4_gap_256.sbb_in1kvit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1kvit_little_patch16_reg1_gap_256.sbb_in12kvit_dlittle_patch16_reg1_gap_256.sbb_nadamuon_in1kvit_wee_patch16_reg1_gap_256.sbb_in1kvit_pwee_patch16_reg1_gap_256.sbb_in1kvit_dwee_patch16_reg1_gap_256.sbb_nadamuon_in1kvit_dwee_patch16_reg1_gap_256.sbb_in1kvit_dpwee_patch16_reg1_gap_256.sbb_nadamuon_in1k