Pinned Repositories
awesome-normalization-techniques
Papers for normalization techniques, released codes collections.
face-recognition
This project provides a face recoganization system via opencv4
Julia-Deeplearning
Julia implementations of deep learning methods.
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
PyTorch-ESCGAN
The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition".
PyTorch-GANSER
Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"
pytorch-parallel
Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.
torch-tresnet
Packaged TResNet based on Official PyTorch Implementation
VisionTransformer-Pytorch
torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
tczhangzhi's Repositories
tczhangzhi/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
tczhangzhi/awesome-normalization-techniques
Papers for normalization techniques, released codes collections.
tczhangzhi/pytorch-parallel
Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.
tczhangzhi/VisionTransformer-Pytorch
tczhangzhi/PyTorch-GANSER
Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"
tczhangzhi/Julia-Deeplearning
Julia implementations of deep learning methods.
tczhangzhi/PyTorch-ESCGAN
The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition".
tczhangzhi/face-recognition
This project provides a face recoganization system via opencv4
tczhangzhi/torch-tresnet
Packaged TResNet based on Official PyTorch Implementation
tczhangzhi/torch-text-similarity
Implementations of models and metrics for semantic text similarity. Includes fine-tuning and prediction of models
tczhangzhi/leetcode
😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
tczhangzhi/cluster
Torchcluster is a python package for cluster analysis.
tczhangzhi/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
tczhangzhi/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
tczhangzhi/tutorials
tczhangzhi/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
tczhangzhi/PyTorch-SAGCN
Official implementation of the paper "Steganographer Detection via a Similarity Accumulation Graph Convolutional Network"
tczhangzhi/tczhangzhi
tczhangzhi/vaccine-back
optimization of vaccination center
tczhangzhi/vaccine-front
optimization of vaccination center
tczhangzhi/vision
Datasets, Transforms and Models specific to Computer Vision
tczhangzhi/academic-homepage
tczhangzhi/Alarm-Clock
Alarm Clock is a web application developed to help manage presentation durations.
tczhangzhi/camel
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
tczhangzhi/dsp.js
Digital Signal Processing for Javascript
tczhangzhi/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
tczhangzhi/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tczhangzhi/taichi
Productive & portable high-performance programming in Python.