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Name: Dr. Mingming Guo
Type: User
Bio: Data & ML Scientist - AI, NLP and Personalization/Recommendations
Name: Dr. Mingming Guo
Type: User
Bio: Data & ML Scientist - AI, NLP and Personalization/Recommendations
Python module to perform under sampling and over sampling with various techniques.
Everything you need to know to get the job.
The Squash client library for Java projects.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Deep Reinforcement Learning for Keras.
A customisable 3D platform for agent-based AI research
Oxford Deep NLP 2017 course
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Python codes for common Machine Learning Algorithms
My blogs and code for machine learning. http://cnblogs.com/pinard
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Minimal and clean examples of machine learning algorithms
Python code for Machine Learning course from Coursera
Models built with TensorFlow
Real-time Joint Semantic Reasoning for Autonomous Driving
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
Resources for "Natural Language Processing" Coursera course.
Visualizer for deep learning and machine learning models
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
YSDA course in Natural Language Processing
Classifying movie reviews for sentiment analysis using Nature Language Processing and Out-of-core Learning
Code Samples from Neural Networks for NLP
Comprehensive Tutorial for Pandas and Numpy
A course in reinforcement learning in the wild
Repo for Udacity's Secure & Private AI course
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
📖 A collection of pure bash alternatives to external processes.
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.