padarn Goto Github PK
Name: Padarn Wilson
Type: User
Company: @myteksi
Location: Singapore
Name: Padarn Wilson
Type: User
Company: @myteksi
Location: Singapore
step-by-step tutorial on how to implement basic bootstrap analyses
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Python Data. Leaflet.js Maps.
functorch is a prototype of JAX-like composable function transforms for PyTorch.
Kriging for GA project
Apache Airflow (Incubating)
One of the fastest alternative JSON parser for Go that does not require schema
A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster
Kustomize manifest to deploy kubeflow pipelines in AWS
🦜🔗 Build context-aware reasoning applications
Open3D: A Modern Library for 3D Data Processing
Open source Structure-from-Motion pipeline
Blog
Machine Learning Pipelines for Kubeflow
Probabilistic reasoning and statistical analysis in TensorFlow
pycallgraph is a Python module that creates call graphs for Python programs.
Deep universal probabilistic programming with Python and PyTorch
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Graph Neural Network Library for PyTorch
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
scikit-learn: machine learning in Python
Serve PyTorch models in production
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.