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Name: 321YY

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321YY's Projects

data_mining_algorithm_demo

Some Machine Learning and Data Mining Algorithms demo, include CNN, NN, GP, PSO, Feature Construction and Feature Selection.

deap

Distributed Evolutionary Algorithms in Python

deap-simpleexample-notebook

( 🦉 ) This code lab intended to introduce new Machine Learning Algorithm // DEAP : Distributed Evolutionary Algorithm Framework.

deck.gl

WebGL2 powered geospatial visualization layers

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeplearning

深度学习相关教程

deeplearning-location

Using Deep Learning method for seismic event location.

deeplearningtutorial

深度学习代码

deeptables

DeepTables: Deep-learning Toolkit for Tabular data

diabetes-drug-reverses-alzheimers-symptoms

The detailed analysis of the data, can be understood that it needs to be properly pre-processed to feed it to the predictive model. Therefore, the data is converted to a format the model best understands, and then exploratory data analysis is performed. Lot of facts has been discovered in this analysis. Later in the prediction part, there are 3 main models used. With the help of python’s well-known library package “sci-kit learn” it is easily possible to implement and execute different types of model. Initially, we use a model called Support vector classifier. This gives a decent amount of accuracy of predictions. Later the same model is optimized and cross validated. It still stays with decent accuracy rate. Secondly, used other models like linear regression, adaptive boosting, and sci-kit learn’s simple neural network called MLP – multi-layered perceptron package. All give fair amount of accuracy. Adaptive booting gives 100 percent accuracy. Since the out is binary, adaptive boosting algorithm is the most accurate one.

difflogic

A Library for Differentiable Logic Gate Networks

digit-recognition-using-opencv-and-tkinter

Digit recognition

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dnd

Exploratory data analysis over the dnddata created by Burak Ogan using ggplot2, tidyr, dplyr, corrplot, fitdistrplus, ggpubr, scatterplot3d, rgl and magick.

dogs_vs_cats

猫狗大战

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

ds-with-pysimplegui

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

ds_projects

frequently used methods for analysis, plots and ML algos

dtreeviz

A python library for decision tree visualization and model interpretation.

duel-staged-attention-for-nyc-weather-prediction

Dual Staged Attention Model for Time Series prediction

duelist-algorithm-python

A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708

englishlearning

英语笔记分享

ensemble-machine-learning-cookbook

Ensemble Machine Learning Cookbook, published by Packt

enveloc

Python seismic envelope cross-correlation location

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