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llava-plus-codebase

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679

megflow

Efficient ML solutions for long-tailed demands.

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

mmdeploy

OpenMMLab Model Deployment Framework

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mmeval

A unified evaluation library for multiple machine learning libraries

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mnn

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

mnn-applications

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

mobile-aloha

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

mobile-vision

Mobile vision models and code

mobilenetv3-segmentation

MobileNetV3 for Semantic Segmentation.

mobilepydnet

Pydnet on mobile devices

mobiler2l

[CVPR 2023] Real-Time Neural Light Field on Mobile Devices

mobilesam

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

mobilesam-android-mnn

mobilev2_deeplabv3plus_pytorch1.2

这是一个基于MobileV2主干的DeepLabV3plus语义分割模型基础代码，用于入门学习

monodepth-ncnn

monodepth running in Android by ncnn

multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

nanodet-plus-opencv

使用OpenCV部署NanoDet-Plus，包含C++和Python两个版本的程序

nanodet-plus-rk3588

deploy nanodet-plus model on rk3588

nanodet.lite.ai.toolkit

🚀🚀🌟NanoDet with ONNXRuntime/MNN/TNN/NCNN. (https://github.com/DefTruth/lite.ai.toolkit)

nanosam

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

nanotrack_libtorch

C++版本基于libtorch的NanoTrack跟踪算法

nanotrack_rk3588_python

python版本基于rk3588的NanoTrack,每秒可达120FPS