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Name: 面白い
Type: User
Bio: Engineer on Planet Earth
Location: Planet Earth
Name: 面白い
Type: User
Bio: Engineer on Planet Earth
Location: Planet Earth
A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming
A lightweight packet-level OMNeT++ simulator designed to simulate large FatTree data center networks.
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Data mining FEC data using R, SQL and Azure Machine Learning Studio
An Extremely Simplified Implementation of Thread Sanitizer's Data Race Detection in Swift
Curated list of Python resources for data science.
Data Structures And Algorithms Made Easy
Use deep learning to make accurate future stock return predictions
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
The Project for Deep Learning, Self Driving Simulation
DDR3 SDRAM controller
HDL code for a DDR4 memory controller implementing an Open Page Policy and Out of Order execution.
DDR4 Simulation Project in System Verilog
Exploring the mathematical basis of DropOut, DropConnect and similar techniques
适合应届毕业生的 LaTeX 简历模板
Repo for the Deep Learning Nanodegree Foundations program.
Version control for my deep learning course.
Structural damage detection using convolutional neural networks
List of publicly available Deep Learning courses
Some Deep Learning and Machine learning models for stock market
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Deep Learning notes and snippets
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
:satellite: Organized Resources for Deep Learning Researchers and Developers
Deep reinforcement learning using a deep Q-network with a dueling architecture.
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.