GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

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

Caffe: a fast open framework for deep learning.

Submanifold sparse convolutional networks

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

code for Holistically-Nested Edge Detection

Pyramid Scene Parsing Network, CVPR2017.

llm deploy project based mnn.

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

船长关于机器学习、计算机视觉和工程技术的总结和分享

Caffe implementation of multiple popular object detection frameworks

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

Richer Convolutional Features for Edge Detection

一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !

gSLICr: Real-time super-pixel segmentation

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

Convolutional Oriented Boundaries

piou loss and Retail50K dataset

Video Object Segmentation

Learning Superpixels with Segmentation-Aware Affinity Loss

A light-weight deep learning library based on Caffe

Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

A collection of algorithms for use with RGB-D data.

将mobilenetv3_small的paddlepaddle参数转换为pytorch的模型参数

c++ code for paper "saliency detection via graph-based manifold ranking" by chuan yang, lihe zhang, huchuan lu, xiang ruan, ming-hsuan yang