mountcuthbert Goto Github PK

algorithm

算法导论python实现

armed-conflicts-prediction

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

civil-war-forecast

Used event data to build a predictor of civil wars and internal conflict.

cluster

The codes的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较

clustering-algorithm-matlab

K-means, K-medoids and other clustering algorithm. Matlab Demo.

conflict-forecasting

Replication files for "A Bayesian Forecasting Model of International Conflict."

conflictnet

Repsetory for ConflictNet. A conflict forecasting network based on a recurrent - approximate baysian - Unet.

conflictprediction

Replication of a Conflict Forecasting Paper

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

datasets

diachronic_armed_conflicts

Diachronic armed conflicts prediction from news texts

geneve_1564

LaTeX facsimile of a Bible de Genève, 1564

gerber

Gerber robust statistics for portfolio optimization

health-code-index

健康码模拟 - 索引

high-resolution-conflict-forecasting

Replication code for High Resolution Conflict Forecasting with Spatial Convolutions and Long Short-Term Memory

latam-conflict-forecast-model

Forecasting conflict incidence in Latin America and the Caribbean using the random forest (machine learning model) approach by Kuzma et al. (2020)

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

mountcuthbert.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

osiris

Forecasting societal conflict and violence using open-source indicators and graph databases

project-lrz2008

Replication project for Lemmon, Roberts, and Zender (2008, JF)

quant-ai-or-math-statistics

stanford---machine-learning-coursework

Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition.

uw-madison_math632

Introduction to Stochastic Process

zju-icicles

浙江大学课程攻略共享计划