331 Open source projects that are alternatives of or similar to Image2LMDB

CNN model inference benchmarks for some popular deep learning frameworks

Visualizer for neural network, deep learning, and machine learning models

collection of utilities to use with deep learning libraries (e.g. caffe)

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Setup and customize deep learning environment in seconds.

Deep Learning Benchmarking Suite

php wrapper for opencv

Domain Guided Dropout for Person Re-identification

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the expression constraint language.

ID-discriminative Embedding (IDE) for Person Re-identification

Data Augmentation for Caffe

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

The NNEF Tools repository contains tools to generate and consume NNEF documents

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Oriented Response Networks, in CVPR 2017

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Reimplement RetinaFace use C++ and TensorRT

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

A Big Awesome List CoreML Models.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Caffe for Sparse Convolutional Neural Network

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

Use caffe to train your own data in just one click

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Compact Generalized Non-local Network (NIPS 2018)

A Caffe Re-Implementation of SENet

A windows caffe implementation of YOLO detection network

Deformable Convolutional Networks on caffe

Low-level zero-overhead and the fastest LMDB .NET wrapper with some additional native methods useful for Spreads

Caffe for YOLOv2 & YOLO9000

Deep learning software for colorizing black and white images with a few clicks.

code for py-R-FCN-multiGPU maintained by bupt-priv

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

pytorch 2 caffe

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

A caffe implementation of mobilenet's depthwise convolution layer.

Squeeze-and-Excitation Networks

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

Fine-grained classification via second order statistics in a compact end-to-end trainable model

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Real-World Anomaly Detection in Surveillance Videos

The Convolutional Neural Network(CNN) for Android

MTCNN with Motion Detection, on Raspberry Pi with Love

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.