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/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Zeigar/awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Zeigar/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Zeigar/BrainVortexToolbox
Xu, Y., Long, X., Feng, J. et al. Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing. Nat Hum Behav 7, 1196–1215 (2023).
Zeigar/cca_pls_toolkit
Canonical Correlation Analysis and Partial Least Squares Toolkit for neuroscientists,Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships. Biol. Psychiatry 87, 368-376.
Zeigar/ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
Zeigar/chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
Zeigar/Chinese-Vicuna
Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca
Zeigar/eeg-qc-dash
Plotly/Dash based web application for checking quality of EEGs
Zeigar/EEG_Image_decode
Using vision-language models to decode natural image perception from non-invasive brain recordings.
Zeigar/GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Zeigar/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
Zeigar/HAPPE-1
EEG Pre-Processing Pipeline,Lopez, K. L. et al. HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings. NeuroImage 260, 119390, doi:https://doi.org/10.1016/j.neuroimage.2022.119390 (2022).
Zeigar/HHSA
Trying to implement Holo-Hilbert spectral analysis
Zeigar/jqtrade
Trade engine for onequant
Zeigar/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答
Zeigar/leida-python
Leading Eigenvector Dynamics Analysis Python Toolbox
Zeigar/MIND
This repository contains a Python implementation of Morphometric INverse Divergence (MIND) calculation for the estimation of structural similarity networks in the brain. Sebenius, I., Seidlitz, J., Warrier, V. et al. Robust estimation of cortical similarity networks from brain MRI. Nat Neurosci 26, 1461–1471 (2023). https://doi.org/10.1038/s41593-0
Zeigar/moabb
Mother of All BCI Benchmarks，Build a comprehensive benchmark of popular Brain-Computer Interface (BCI) algorithms applied on an extensive list of freely available EEG datasets.
Zeigar/NDDM
Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.
Zeigar/neuro-knowledge-engine
Beam, E., Potts, C., Poldrack, R. A., & Etkin, A. (2021). A data-driven framework for mapping domains of human neurobiology. Nature neuroscience, 24(12), 1733-1744.
Zeigar/neurodsp
Cole, S. et al(2019). NeuroDSP: A package for neural digital signal processing. Journal of Open Source Software, 4(36), 1272.
Zeigar/neuromaps
Markello, Ross D., et al. "Neuromaps: structural and functional interpretation of brain maps." BioRxiv (2022).
Zeigar/partial-info-decomp
Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures, Ince, R. A. (2017). The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal. arXiv preprint arXiv:1702.01591.
Zeigar/PCA_Tutorial
Accompanying scripts and material to conduct a temporal EFA on ERP data as explained in Scharf, Florian, et al. "A tutorial on the use of temporal principal component analysis in developmental ERP research–Opportunities and challenges." Developmental Cognitive Neuroscience (2022): 101072.
Zeigar/stat_mod_ada_nn
Lombardi, F., Pepić, S., Shriki, O. et al. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nat Comput Sci 3, 254–263 (2023).
Zeigar/tfpca-tutorial
TF-PCA analyses, Buzzell, George A., et al. "A Practical Introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA)." Developmental Cognitive Neuroscience (2022): 101114.
Zeigar/torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
Zeigar/TORTOISEV4
Official TORTOISE Diffusion MRI Processing Pipeline V4 Source Code and Documentation
Zeigar/wenda
闻达：一个LLM调用平台。为小模型外挂知识库查找和设计自动执行动作，实现不亚于于大模型的生成能力