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NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
[arXiv'24] Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future
(TheWebConf'25) Official Library for the Paper "Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support"
A react-based starter app for using the Live API over websockets with Gemini
Laminar - open-source all-in-one platform for engineering AI products. Crate data flywheel for you AI app. Traces, Evals, Datasets, Labels. YC S24.
Turn any computer or edge device into a command center for your computer vision projects.
🔥🔥🔥 Latest Advances on Large Recommendation Models
🔥 The most advanced open-source online code execution system in the world.
A parser, editor and profiler tool for ONNX models.
ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A blazingly fast multi-language serialization framework powered by JIT and zero-copy.
🚄 FASTJSON2 is a Java JSON library with excellent performance.
A comprehensive guide for implementing efficient and lightweight model serving.
A modern replacement for Redis and Memcached
Shadergraph package for stochastic texture manipulation for Unity HDRP
Awesome list of resources for Game Engine Development.
A collection of open source c/c++ libraries for gamedev
A curated list of awesome AI tools for game developers
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Official repository for "AM-RADIO: Reduce All Domains Into One"
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Distributed Asynchronous Hyperparameter Optimization in Python