eycab Goto Github PK
Name: eycab
Type: User
Company: Georgia Institute of Technology
Bio: ML DL enthusiast
Name: eycab
Type: User
Company: Georgia Institute of Technology
Bio: ML DL enthusiast
CCF2016 - TNT_000二等奖作品
1st Place Solution for【2016CCF大数据竞赛 客户画像赛题(用户画像)】
A resource repository for 3D machine learning
Abseil Common Libraries (Python)
Accelerated Stochastic Power Iteration with Momentum
R based data science solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Useful extra functionality for TensorFlow maintained by SIG-addons
Little More Advanced TensorFlow Implementations
AI相关论文
Artificial Intelligence Knowledge Information Framework
Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
fast image augmentation library and easy to use wrapper around other libraries
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithm Visualizer
Large Scale Graphical Model
Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
Automated Machine Learning [AutoML] for Python
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Benchmarks of approximate nearest neighbor libraries in Python
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection with R
Twitter's Anomaly Detection in Pure Python
High performance datastore for time series and tick data
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
yolov3 with mobilenet v2 and ASFF
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.