Turing.Jl
TuringLang
Bayesian inference with probabilistic programming.
OPENAGENTSKILL / DIRECTORY
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Results: 82
TuringLang
Bayesian inference with probabilistic programming.
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
roboflow
Turn any computer or edge device into a command center for your computer vision projects.
krasserm
Notebooks about Bayesian methods for machine learning
py-why
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…
huggingface
A blazing fast inference solution for text embeddings models
triton-inference-server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
probcomp
A general-purpose probabilistic programming system with programmable inference
blei-lab
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
uber
Uplift modeling and causal inference with machine learning algorithms
Michael-A-Kuykendall
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
vllm-project
A framework for efficient model inference with omni-modality models
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
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