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
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
List of tools & datasets for anomaly detection on time-series data.
âžA curated list of papers and code about very deep neural networks
This curated list contains python packages for time series analysis
Curated list to learn the math basics for machine learning
The Babysitter Kata
Bayesian Logistic Regression using Laplace approximations to the posterior.
Uncertainty interpretations of the neural network
Bayesian Optimization using xgboost and sklearn API
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Notebooks related to Bayesian methods for machine learning
Building a Bayesian deep learning classifier
Methods to get the probability of a changepoint in a time series.
Papers for Bayesian-NN
a repo sharing Bayesian Neural Network recent papers
A Python implementation of global optimization with gaussian processes.
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Bayesian Python: Bayesian inference tools for Python
Exploratory data analysis for large datasets (10-100 million observations)
Bitflyer API Realtime Feed Python
NumPy and Pandas interface to Big Data
Python implementations of the Boruta all-relevant feature selection method.
Bayesian Personalized Ranking
A user-centered Python package for differentiable probabilistic inference
A high performance and general PS framework for distributed training
Caffe: a fast open framework for deep learning.
Original implementation of Calibrated Boosting-Forest
Research data and its admin management system via 2 databases supported by EC2 Amazon server.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ī¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.