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Tmap for visualizing geospatial data with static maps and for interactive maps.

Tm and are the main packages for managing, analyzing, and visualizing textual data.

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.

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.

Live countdowns for global AI conferences & exhibitions in Machine Learning, Computer Vision, Robotics & NLP.

The AI Safety Summit 2023 is a major global event that will take place on the 1 and 2 November at Bletchley Park, Buckinghamshire.

Building AGI with our mission Intelligence with Everyone. Global leader in multi-modal models and AI-native products with over 200 million users.

Global, black box optimization engine for real world metric optimization by Yelp.

For calculating global feature importance using Shapley values.

Como o texto gerado por Inteligência Artificial está envenenando a Internet - MIT Technolo creates or edits images with generative AI and text-based…

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.