zwj5490

tiny-dnn

header only, dependency-free deep learning framework in C++14

yolact

A simple, fully convolutional model for real-time instance segmentation.

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

gpu-burn

Multi-GPU CUDA stress test

shape_based_matching

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

FastMOT

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

GMS-Feature-Matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

tensorflow-mnist

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

SpectralCluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

DeepLearningFromScratch

《深度学习入门：基于Python的理论与实现》电子版及配套代码​。​

AdaLAM

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

Proxy-Anchor-CVPR2020

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

DeepLearningC

Simple program to learn CNN (LeNet-5) in pure C

siamese_tf_mnist

Implementing Siamese Network using Tensorflow with MNIST

image-matching-benchmark-baselines

Baselines for the Image Matching Benchmark and Challenge

LeNet-5

PyTorch implementation of LeNet-5 with live visualization

L2-Net

Code and mode for CVPR 2017 paper "L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space"

deep-ranking

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

LeNet-5

LeNet-5,Use C Program Language Without Any 3rd Library

spectral-clustering

Python implementation of the spectral clustering algorithm

LeNet-5

卷积神经网络之LeNet-5实现 The LeNet-5 Implementation of Convolutional Neural Network

ButterflyTransform

streaming-vis-pca

Incremental PCA for Visualizing Streaming Multidimensional Data

openGPC

Implements the sparse stereo method Global Patch Collider by Shenlong Wang et al, CVPR 2016

L2-Net-Python-Keras

L2-Net patch descriptor ported to Python using Keras

pSpectralClustering

Spectral Clustering based on the graph p-Laplacian

IPCA

Incremental PCA

optical2.0

the second edition,its the optical with some improvement