Aloha Li (alohali)

alohali

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Location:shanghai

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Aloha Li's repositories

benchmark-models

benchmark models for TNN, ncnn, MNN

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ppl.cv

ppl.cv is a high-performance image processing library of openPPL supporting x86 and cuda platforms.

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benchmarks

A benchmark framework for Tensorflow

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clpeak

A tool which profiles OpenCL devices to find their peak capacities

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ComputeLibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

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cpufp

A CPU tool for benchmarking the peak of floating points

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deep-residual-networks

Deep Residual Learning for Image Recognition

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DeepRec

DeepRec is a recommendation engine based on TensorFlow.

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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

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git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

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MipsCPU

A Mips I CPU simulation written in C++ that is completely programmable and can run most instructions.

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MNN

MNN is a lightweight deep neural network inference engine.

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MobileNet-Caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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oneDNN

oneAPI Deep Neural Network Library (oneDNN)

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ppl.nn

A primitive library for neural network

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product-nets-distributed

distributed version of product-nets

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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tensorflow

An Open Source Machine Learning Framework for Everyone

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TNN

TNN:移动端高性能、轻量级推断框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推断框架进一步完善。

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tutorials

PyTorch tutorials.

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vim-sublime-monokai

Vim Monokai color scheme that tries to be as faithful as possible to Sublime's Monokai syntax highlighting

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vision

Datasets, Transforms and Models specific to Computer Vision

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