├── README.md └── coding_tutorials ├── Distillation_VQ └── distillation.txt ├── GNNs └── gnn.txt ├── GPU_acceleration ├── Bck.png ├── gpukernels.jpg └── onnx.png ├── Generative_Archetictures ├── Diffusion │ ├── DDPMs_files │ │ ├── forward_and_reverse.png │ │ ├── forward_process.png │ │ └── noise_scheduler.png │ └── Tutorial_DDPM_conditional_using_diffusers.ipynb ├── Flow_matching │ ├── Flow_Matching_Tutorial.ipynb │ └── flow_matching_files │ │ ├── flowmatching_training.gif │ │ └── generated_samples.gif ├── GANs │ ├── GANs.ipynb │ └── comprehensiveGANs_files │ │ ├── A-view-of-variants-of-GAN-G-represents-the-generator-network-D-is-the-discriminator.png │ │ ├── InfoGANs │ │ ├── variationalgan.png │ │ └── variationalgan2.png │ │ ├── cGANs │ │ ├── cGANs.png │ │ └── cgan_settings.png │ │ ├── cyclegan │ │ ├── zebrahorse1.png │ │ └── zebrahorse2.png │ │ └── hdcgan │ │ └── hdcgan.png ├── Normalizing_flow │ ├── Glow_tutorial.ipynb │ ├── NF_Glow_deprecated_unfinished.ipynb │ ├── NF_image_modeling.ipynb │ ├── glow_files │ │ ├── 00.jpg │ │ ├── glow.png │ │ ├── glow_bb.png │ │ ├── invertible.png │ │ ├── pitfall.png │ │ ├── progression.gif │ │ ├── split.png │ │ ├── training_glow.gif │ │ └── transition.png │ ├── normalizing_flow_files │ │ ├── backward.png │ │ ├── comparison_GAN_VAE_NF.png │ │ ├── forward.png │ │ ├── glow.png │ │ ├── important1.png │ │ ├── important2.png │ │ ├── important3.png │ │ ├── keyidea.png │ │ ├── negative_log.png │ │ └── nf.png │ └── normalizing_flow_tutorial.ipynb └── VAEs │ └── Conditional_Image_Generation_Using_VAE.ipynb ├── MultiModalities └── multi.txt ├── NLP ├── Attention_variants.ipynb └── attention_variants_files │ ├── attention_variants.jpg │ └── bahandau_attention │ ├── attention_mechanism.png │ ├── attention_superiority.png │ └── bahandau_abstract.png ├── RL └── RL.txt ├── comparing.ipynb └── docs.txt /README.md: -------------------------------------------------------------------------------- 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