A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
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highcharter applies AI to data analysis, extraction, visualization, or business intelligence.
High-performance, high-precision CPU, GPU, and memory profiler for Python.
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.
AI landscape generated with a freeform GAN based on highway images, and further processed with a style GAN using an original charcoal drawing.
Open-source platform for high-performance ML model serving.
Open-source text-to-image model with a high degree of photorealism and language understanding by Stability.AI.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
High performance library for time series distances (DTW) and time series clustering.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
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.
A high-level machine learning library in the vein of Keras.
Analyzes structured data and helps produce queries, insights or visualizations.
Import.io helps businesses scale web scraping and data extraction for real-time pricing, competitor tracking, and high-quality web data.
High-quality text-to-speech and voice recognition.
Autograd and XLA for high-performance machine learning research.