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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-gan-for-inception-scores-

Code for the paper "Improved Techniques for Training GANs"

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

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

novel_view_synthesis_3d

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

opendit

OpenDiT: An Easy, Fast and Memory-Efficient System for DiT Training and Inference

photoconsistent-nvs

pykan

Kolmogorov Arnold Networks

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

score_flow

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

score_sde_pytorch-ncsn-

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

small_module

some small modules