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abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

cmsis

Cortex Microcontroller Software Interface Standard

cmsis_5

CMSIS Version 5 Development Repository

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

distiller

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

how-to-ask-questions-the-smart-way

本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

kfserving

Serverless Inferencing on Kubernetes

libmtl

LibMTL: A PyTorch Library for Multi-Task Learning

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

minikube

Run Kubernetes locally

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mnn

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

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nsimd

Agenium Scale vectorization library for CPUs and GPUs

nuscenes-devkit

The devkit of the nuScenes dataset.

plaidml

PlaidML is a framework for making deep learning work everywhere.

server-programming-guide

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

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。