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JingX's Projects

3dod_thesis icon 3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

arl-eegmodels icon arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

caffesvd icon caffesvd

使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层

ccdl icon ccdl

深度学习应用框架,专注于深度学习的工程应用

cnn-eeg icon cnn-eeg

CNN classifier to classify MI-EEG signals

common-spatial-pattern-algorithm icon common-spatial-pattern-algorithm

Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. This algorithm is mainly used in motor imagery based BCI for processing EEG data.

darknet icon darknet

darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析

decisiontree icon decisiontree

The realization of decision tree learning algorithm-----C++ Version,决策树学习算法,C++实现

deep_learning_works icon deep_learning_works

Code to accompany "You can probably use deep learning even if your data isn't that big" blog post

deepeeg icon deepeeg

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dlinterview icon dlinterview

Deep Learning Interview 深度学习面试题目汇总

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