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【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Code for paper "Decoupling Representation Learning for Imbalanced Electroencephalography Classification in Rapid Serial Visual Presentation Task”
Use the DBFace model to build a face recognition platform
Implement Long Short-Term Memory(LSTM) with pytorch to handle raw EEG data
Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in TensorFlow and Keras
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Methods and Implements of Deep Clustering
Code for paper: A Phase Preservation Neural Network for EEG Classification in RSVP Task
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection