XiaotaoChen

XiaotaoChen

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XiaotaoChen's repositories

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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model-quantization

Collections of model quantization algorithms

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AI-System

Resources for AI System Education

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ArmNeonOptimization

Arm neon optimization practice

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ax-samples

Samples code for world class Artificial Intelligence SoCs for computer vision applications.

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bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

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coding-interview

coding for interview

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

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embedded-ai.bench

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

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horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

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InferLLM

a lightweight LLM model inference framework

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

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nudtpaper

A LaTeX template for Master/PhD Thesis of NUDT

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onnx-modifier

A tool to modify onnx models in a visualization fashion, based on Netron and flask.

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opencv-mobile

The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly

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Single-Path-One-Shot-NAS-MXNet

Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.

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TNN

TNN:由腾讯优图实验室打造,移动端高性能、轻量级推理框架,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推理框架进一步完善。

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