udemirezen Goto Github PK
Name: Dr. M. Umut DEMİREZEN
Type: User
Location: Turkey
Name: Dr. M. Umut DEMİREZEN
Type: User
Location: Turkey
0_Stanford_ML006_A2
Some tools for analyzing the raw CSV output from dump1090 (which logs ADS-B radio packets from airplanes)
An implemention of paper by GTX 860m and tensorflow
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
acse-9-independent-research-project-OliverJBoom created by GitHub Classroom
Anti-Derivatives Approximator from Fourier series expansion
To enhance the nonlinearity of neural networks and increase their mapping abilities between the inputs and response variables, activation functions play a crucial role to model more complex relationships and patterns in the data. In this work, a novel methodology is proposed to adaptively customize activation functions only by adding very few parameters to the traditional activation functions such as Sigmoid, Tanh, and ReLU. To verify the effectiveness of the proposed methodology, some theoretical and experimental analysis on accelerating the convergence and improving the performance is presented, and a series of experiments are conducted based on various network models (such as AlexNet, VGGNet, GoogLeNet, ResNet and DenseNet), and various datasets (such as CIFAR10, CIFAR100, miniImageNet, PASCAL VOC and COCO) . To further verify the validity and suitability in various optimization strategies and usage scenarios, some comparison experiments are also implemented among different optimization strategies (such as SGD, Momentum, AdaGrad, AdaDelta and ADAM) and different recognition tasks like classification and detection. The results show that the proposed methodology is very simple but with significant performance in convergence speed, precision and generalization, and it can surpass other popular methods like ReLU and adaptive functions like Swish in almost all experiments in terms of overall performance.
Python codes for the paper "The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach"
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Deep Neural Network for Atrial Fibrillation Classification using Tensorflow (For education purpose only)
unsupervised multi-model fraud-detection algorithm
Algorithms for outlier, adversarial and drift detection
This is the source code repository to accompany my AngularJS LiveLessons. The code more or less mirrors what I talk about in the videos and demonstrates the key concepts of each lesson and sub-lesson.
Some experiments with animacy detection in Dutch Folktales
ANKUS is a deployment & orchestration tool for big data applications
Analytic Optimization of Two Layer ReLU Networks
A python library for visualizing Artificial Neural Networks (ANN)
ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.
Antarctic Mapping Tools for MATLAB functions for analyzing and mapping Antarctic geospatial datasets.
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.