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Updating paper reading and study notes, hopes to help you understand relative knowledge better.

DDPM

Denoising Diffusion Probabilistic Models

Diffusion

Transformer-based Diffusion Review

NFlow

Normalizing Flow

3DGS

3D Rendering

LTSF

Long-term time-series forecasting

Transformer

Mechanism of Self-Attention

Kernel Fusion

Softmax & Layernorm.

WaveNet

A deep generative model

Conv Kernel

Different Convolutional Kernels.

GAN

Generative adversial network.

ESM

GNN and ESM

RNN

Recurrent Neural Network.

Object Detection

Object Detection.

Object tracking

Object tracking.

SE Rev.

Signal enhancement network, a survey.

MLLM

Brief summary.

DL env setup

Brief Introduction.

RL policy

On-policy and off-policy.

Contrastive learning

CL and InfoNCE loss.

Computation

Self attention complexity.

Retentive transformer

RetNet.

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