280 Open source projects that are alternatives of or similar to Ide Baseline Market 1501

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

Reimplementation ResNet on cifar10 with caffe

A Caffe Re-Implementation of SENet

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

train resnet on imagenet from scratch with caffe

Use caffe to train your own data in just one click

Noise-Tolerant Paradigm for Training Face Recognition CNNs

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

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Caffe for YOLOv2 & YOLO9000

A caffe implementation of mobilenet's depthwise convolution layer.

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

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

Real-World Anomaly Detection in Surveillance Videos

MTCNN Face Detection & Alignment

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

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

Convert darknet weights to caffemodel

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Deep Learning Benchmarking Suite

Deformable Convolutional Networks on caffe

Data-parallel image stylization using Caffe.

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/>.

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

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

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

Trajectory-pooled Deep-Convolutional Descriptors

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):

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

MTCNN with Motion Detection, on Raspberry Pi with Love

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

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

Oriented Response Networks, in CVPR 2017

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Data Augmentation for Caffe

AI on Hadoop

Auto-ReID and Other Person Re-Identification Projects

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

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

SeqFace : Making full use of sequence information for face recognition

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。

Trojan Attack on Neural Network

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.

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

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

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

Kaggle dogs vs cats solution in Caffe

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

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

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

php wrapper for opencv

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

A windows caffe implementation of YOLO detection network

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

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

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

pytorch 2 caffe