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3dqd

[CVPR'23] Official PyTorch implementation of 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

a-compact-and-interpretable-convolutional-neural-network-for-single-channel-eeg

In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arctic

This is a repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.

attnsleep

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

autosdf

contrastive-htc

This repository implements a contrastive learning model for hierarchical text classification. This work has been accepted as the long paper "Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification" in ACL 2022.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

diffusion-sdf

[CVPR 2023] Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

dnssystem

A Simple DNS System -- Coursework of Internet Applications

ds-ddpm

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

eeg-motor-imagery-analysis

The codes that I implemented during my B.Sc. project.

glepnet

hexo

lgg

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

mamba

mnist-lenet-keras

LeNet implemented in keras, using the mnist dataset

ruizhiyang0204.github.io

some-document

ts-tcc

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"