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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip-pytorch

这是一个clip-pytorch的模型，可以训练自己的数据集。

cross_view_transformers

Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

ddim

Denoising Diffusion Implicit Models

diffusion

Denoising Diffusion Probabilistic Models

dl-demos

Demos for deep learning

fast-neural-style

Feedforward style transfer

flash-attention

Fast and memory-efficient exact attention

geometry-free-view-synthesis

Is a geometric model required to synthesize novel views from a single image?

guided-diffusion

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

look-outside-room

[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

mudules

novel_view_synthesis_3d

Implementation of "Novel view synthesis with Diffusion models" by Google in JAX distributed

photoconsistent-nvs

pykan

Kolmogorov Arnold Networks

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

small_module

some small modules

synsin

View synthesis for the public.

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

vae

a simple vae and cvae from keras

videoautoencoder

Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoencoder/

vqgan-clip

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

vqgan-pytorch

Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

vunet

A generative model conditioned on shape and appearance.