FuriosaAI (furiosa-ai)

FuriosaAI

furiosa-ai

Geek Repo

Location:Seoul, South Korea

Home Page:https://furiosa.ai

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FuriosaAI's repositories

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bit-set

A Set of Bits

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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

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efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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FasterTransformer

Transformer related optimization, including BERT, GPT

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furiosa-version

A simple CLI util to get version strings from furiosa-libhal, furiosa-libcompiler, and furiosa-libnux

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good_lp

Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.

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highs

Safe rust bindings to the Highs MILP Solver.

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highs-sys

Rust binding for the HiGHS linear programming solver

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ironic

A service for managing and provisioning Bare Metal servers. Mirror of code maintained at opendev.org.

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kvmd

The main PiKVM daemon

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matrixmultiply

Internal patches to bluss/matrixmultiply

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maturin

Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages

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onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

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opencv

Open Source Computer Vision Library

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optimum-furiosa

Accelerated inference of 🤗 models using FuriosaAI NPU chips.

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panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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proptest

Hypothesis-like property testing for Rust

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pyucis

Python API to Unified Coverage Interoperability Standard (UCIS) Data

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pyvsc

Python packages providing a library for Verification Stimulus and Coverage

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tekton-dashboard

A dashboard for Tekton!

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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