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18.303 - Linear PDEs course
浙江大学机器学习
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on the paper: "Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia".
For more information, refer to https://www.frontiersin.org/articles/10.3389/fnins.2019.00509/full
记录本校高等概率论课程笔记
Sage source code for the computation of graphs and proofs from "Adventures in Graph Theory" by David Joyner and Caroline Grant Melles
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
The project is mainly for aircraft design and optimisation
A simulation project using techniques in reinforcement learning to generate optimal paths for unmanned aircraft.
Solving TSP with Gurobi
Mean-Variance Portfolio Optimisation and Algorithmic Trading Strategies in MATLAB
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
This repo contains code for classification of alzheimer's disease from EEG signal.
Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before diagnosable symptoms appear. Electroencephalogram (EEG) could potentially serve as a noninvasive diagnostic tool for AD. Machine learning can be helpful in making inferences about changes in frequency bands in EEG data and how these changes relate to neural function. The EEG data was sourced from 2014 paper titled Alzheimer’s disease patients classification through EEG signals processing by Fiscon et al. There were patients with AD, mild cognitive impairment (MCI), and healthy controls. The data was already preprocessed using a fast fourier transform (FFT) to take the data from the time domain to the frequency domain. There were differing levels of effectiveness in terms of classification but generally, Fisher’s discriminant analysis (FDA), relevance vector machine, and random forest approaches were most successful. Due to inconsistent feature importances in different models, conclusions about important frequency bands for classification were not able to be made at this time. Similarly, different frequencies were not able to be localized to different regions of the brain. Further research is necessary to develop more interpretable models for classification.
MATLAB implementation of AManPG
Artificial Neural Network optimization using a Particle Swarm Optimization algorithm
Training Neural Network with Particle Swarm Optimization
Using Particle Swarm Optimization to train Neural Networks
A popular fork of Apohysis, a cosmic recursive fractal flame editor
The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.
A pyTorch Extension for Applied Mathematics
TensorFlow Implementation of Attentional Factorization Machine
Pytorch implementation of Augmented Neural ODEs :sunflower:
A curated list of awesome resources related to capsule networks
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.