Pinned Repositories
-chanlun
缠论量化,人类历史上第一个数学上可以严格证明的技术分析策略,包含严格笔,线段作为最低级别,中枢的构成,级别的扩展,第一二三类买卖点,同级别分解的,背驰的判断,区间套,需要技术合作的加微信17866148858,备注"github"。走势分解例子在readme,因海外通达信无法方便接收实时行情,用大智慧制作的走势分解程序,减轻脑力工作量。因时间有限只和有缠论技术基础的人交流。可解决比如走势递归的划分,如何同级别分解,二买三买的低点到底当下如何判断在何处,小转大的程序判断等问题。用缠论主观交易就能稳定赚钱。只有用缠论主观交易能挣钱的人,才有可能量化交易也挣钱。何次交易,本人都可以明确在当下,不知道后续走势的情况下指出其错误所在,从而在当时避免错误。如果交易能亏损很多,用亏损的钱的十分之一学习到能避免重复的亏损的问题,大大的值得了。 缠论的难点在于,同级别分解如何分解,同级别分解的多义性,背驰力度的计算,小转大卖点的处理,跳空等极端走势对走势划分的影响,卖点比买点级别小的把握,中枢震荡的操作,如何规避T+1,等等。
3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
3DCNN-Vis
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
3dtopoplot
ACEnet-for-Neuroanatomy-Segmentation
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
alphacsc
Convolution dictionary learning for time-series
ann4brains
Artificial neural networks for brain networks
LEICA
This respository contains the most up-to-date version of the LEICA (Leading Eigenvector Independent Component Analysis)
smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Zeigar's Repositories
Zeigar/catMVPA
Analysis package for fMRI multi-voxel pattern analysis
Zeigar/CCS
Connectome Computation System
Zeigar/data_parsing_scripts
Zeigar/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.
Zeigar/DeepNAT
Zeigar/EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Zeigar/eegnet
Google DeepMind's Wavenet for detection of epileptic seizures in raw iEEG data.
Zeigar/eegNet-pattern-recognition
Algorithms that detect epileptiform activities in EEG recordings
Zeigar/FramingExperiment
This is a psychopy version of the framing task used in the paper: Frames, biases and rational decision-making in the human brain (2006) by De Martino et al (see the link below). The folder contains two versions of the task, one with the original colour scheme and one with a colour scheme adopted to suit colourblind participants.
Zeigar/gRAICAR
A exploratory tool for sub-group discovery in functional neuroimaging data
Zeigar/Graph-Neural-Networks
Neural Networks for Graphs. Simulator written for Mathworks Matlab 7+
Zeigar/LatentStructure
code and data from Latent Structure modeling paper
Zeigar/matlab-bgl
A graph library for Matlab based on the boost graph library
Zeigar/matlab_SPoC
Matlab code for SSD, SPoC, mSPoC, and cSPoC
Zeigar/MHN-parcellation
Zeigar/napr
A cloud-based framework for age prediction using neuroimaging
Zeigar/NBT
The Neurophysiological Biomarker Toolbox
Zeigar/NBTpublic
The Neurophysiological Biomarker Toolbox -
Zeigar/nilearn_tutorials
Nilearn tutorials for OHBM 2016 educational course
Zeigar/NIRAL_DTI_PIPELINE
Python scripts to execute a DTI pipeline.
Zeigar/rCharts
Interactive JS Charts from R
Zeigar/shrinkIt
MATLAB toolbox to perform empirical Bayes shrinkage on rs-fMRI connectivity matrices for subject-level parcellation
Zeigar/supervertices
Supervertex clustering for the parcellation of the cerebral cortex