Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

Open source project for data preparation of LLM application builders

🦜🔗 Build context-aware reasoning applications

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

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 graphic…

Causal Inference 1 Mixtape Session taught by Scott Cunningham

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Graph Neural Network Library for PyTorch

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

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 go…

Serve PyTorch models in production

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Open source Structure-from-Motion pipeline

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

Open3D: A Modern Library for 3D Data Processing

Deep universal probabilistic programming with Python and PyTorch

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

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

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

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

🔧 Easy-to-use PyTorch Dataset object for multivariate time series 🔧

Probabilistic reasoning and statistical analysis in TensorFlow

Machine Learning Pipelines for Kubeflow

Kustomize manifest to deploy kubeflow pipelines in AWS

Apache Airflow (Incubating)

Python Data. Leaflet.js Maps.

Survival package for R