An Open Source Machine Learning Framework for Everyone
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ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Open3D: A Modern Library for 3D Data Processing
- mesh-processing
- computer-graphics
- opengl
- cpp
A flexible, high-performance serving system for machine learning models
High Performance Chinese License Plate Recognition Framework.
- deep-learning
- plate-recognition
- android
- cpp
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
- fast-data-pipeline
- image-augmentation
- data-augmentation
- image-processing
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
- deep-learning
- mnn
- ncnn
- inference
Tengine is a lite, high performance, modular inference engine for embedded device
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
A retargetable MLIR-based machine learning compiler and runtime toolkit.
- mlir
- vulkan
- tensorflow
- spirv
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
A tensorflow implementation of EAST text detector
- tensorflow
- text-detection
- deep-learning
- ocr
Udacity Self-Driving Car Engineer Nanodegree projects.
- self-driving-car
- udacity-self-driving-car
- deep-learning
- deep-neural-networks
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
Deep Learning Chinese Word Segment
- nlp
- deep-learning
- chinese-text-segmentation
- tensorflow
TinyML AI inference library
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
- iot-device
- sensor
- edge-machine-learning
- resource-constrained-ml
A lightweight header-only library for using Keras (TensorFlow) models in C++.
:dancer: Real-time single person pose estimation for Android and iOS.
- pose-estimation
- tensorflow
- deep-neural-networks
- cpm
A uniform interface to run deep learning models from multiple frameworks
TensorFlow ROCm port