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bootsteps

step-by-step tutorial on how to implement basic bootstrap analyses

bsplines

causal-inference-1

Causal Inference 1 Mixtape Session taught by Scott Cunningham

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dowhy

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.

econml

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.

flink-on-k8s-operator

Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.

folium

Python Data. Leaflet.js Maps.

functorch

functorch is a prototype of JAX-like composable function transforms for PyTorch.

gapykrig

Kriging for GA project

incubator-airflow

Apache Airflow (Incubating)

jsonparser

One of the fastest alternative JSON parser for Go that does not require schema

kube-capacity

A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster

kubeflow-aws

Kustomize manifest to deploy kubeflow pipelines in AWS

langchain

🦜🔗 Build context-aware reasoning applications

notes

open3d

Open3D: A Modern Library for 3D Data Processing

opensfm

Open source Structure-from-Motion pipeline

padarn.github.com

Blog

pipelines

Machine Learning Pipelines for Kubeflow

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pycallgraph

pycallgraph is a Python module that creates call graphs for Python programs.

pyro

Deep universal probabilistic programming with Python and PyTorch

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

randomizepy

scikit-learn

scikit-learn: machine learning in Python

serve

Serve PyTorch models in production