High-performance, high-precision CPU, GPU, and memory profiler for Python.
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A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
highcharter applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source platform for high-performance ML model serving.
High performance library for time series distances (DTW) and time series clustering.
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.
Autograd and XLA for high-performance machine learning research.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
An Easy-to-Use and High-Performance AI deployment 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.
The lightweight PyTorch wrapper for high-performance AI research.
High performance distributed data processing in NodeJS.
Flexible, high-performance serving system for machine learning models.
Creates or edits images with generative models and visual controls.
GPU-based high-performance interactive OpenGL 2D/3D data visualization library.
Open Diffusion Models for High-Quality Video Generation.
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.
Meet ANYmal - A robust, autonomous, agile inspection solution with ready-to-go high quality sensors.
(USA) A API company for advanced Speech-to-Text, offering highly accurate transcription, summarization, and audio intelligence.