AI Agent Skills

Uplift modeling and causal inference with machine learning algorithms

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 inferen…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Turn any computer or edge device into a command center for your computer vision projects.

Python package for causal discovery based on LiNGAM.

A blazing fast inference solution for text embeddings models

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal For…

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

A framework for efficient model inference with omni-modality models

A unified inference and post-training framework for accelerated video generation.

Achieve state of the art inference performance with modern accelerators on Kubernetes

A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.