eskenh Goto Github PK
Type: User
Type: User
LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
☁️ A curated list of AWS certification materials: videos courses, practice exams, prep tips, etc.
Study guide for AWS Certification
Quick notes about books I read
A small C++ implementation of LSTM networks, focused on OCR.
A complete computer science study plan to become a software engineer.
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
A module of independent functions to do precipitation retrievals from polarimetric radar data
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
Projects and Coursework for Deep Learning Specialization (deeplearning.ai)
My Reading Lists of Deep Learning and Natural Language Processing
If you are looking for becoming a Mobile Web Specialist by Google, this guide will be your best friend in your journey
Starter files, final projects, and FAQ for my HTML + CSS course
We have implemented algorithms such as random forest, decision tree, gradient boosting and SVM with different kernels for prediction of "Good" or "Bad" Radar Signals
Winning solution to the Kaggle competition - How Much Did It Rain? II
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Text and supporting code for Modeling and Simulation in Python
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
Will try implementing different neural networks
Lightning flash-cell identification and nowcasting using machine learning algorithms
Research on Machine Learning based Nowcasting methods and applications
A collection of decomposition routines for polarimetric synthetic aperture radar (PolSAR) applications written in Fortran.
Part of my daily plan for studying C.
Part of my daily plan for studying C++.
Part of my daily plan for studying Python.
Probabilistic reasoning and statistical analysis in TensorFlow
This project involved using Power BI to create dynamic dashboards for call center trends, developing customer retention strategies, and addressing diversity and inclusion challenges.
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.