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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).

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.

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

Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.

A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.

An open source machine learning framework in Rust Δ.

Deep learning in Rust, with shape checked tensors and neural networks.

Modern columnar data format for ML implemented in Rust.

A comprehensive toolkit to build Machine Learning applications with Rust.

Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.

Vector database plugin for Postgres, written in Rust, specifically designed for LLM.

Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.

Python-free Rust inference server with OpenAI API compatibility and hot model swapping.

Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.

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.