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Open-source platform for high-performance ML model serving.

Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.

High performance library for time series distances (DTW) and time series clustering.

Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.

FeatherCNN is a high performance inference engine for convolutional neural networks.

An enterprise-grade, high performance feature store.

Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.

Library for high performance deep learning inference on NVIDIA GPUs.

Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.

Autograd and XLA for high-performance machine learning research.

A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.

Algorithm capable of fully capturing the impact of data drift on performance.

Ncnn is a high-performance neural network inference framework optimized for the mobile platform.

An Easy-to-Use and High-Performance AI deployment framework.

An open-source cross-platform performance library for deep learning applications.

OneFlow is a performance-centered and open-source deep learning framework.

Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.

A library providing high-performance, easy-to-use data structures and data analysis tools.

Simple, realtime visualization of neural network training performance.

The lightweight PyTorch wrapper for high-performance AI research.

Rev AI, part of the Rev family, is a developer-first API that delivers industry- accuracy and fast performance at global scale. Click to learn more.

100% free, open-source AI code review tool for analyzing git branch differences with comprehensive security, performance, and quality analysis.

High-performance, high-precision CPU, GPU, and memory profiler for Python.

High performance distributed data processing in NodeJS.