325 Open source projects that are alternatives of or similar to iAI

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

Noise-Tolerant Paradigm for Training Face Recognition CNNs

MTCNN Face Detection & Alignment

Convert darknet weights to caffemodel

Semantically consistent regularizer for zero-shot learning

Reimplementation ResNet on cifar10 with caffe

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

Deep Learning Benchmarking Suite

The Convolutional Neural Network(CNN) for Android

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

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/>.

Data-parallel image stylization using Caffe.

A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

train resnet on imagenet from scratch with caffe

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

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

Reimplement RetinaFace use C++ and TensorRT

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

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

Reference caffe implementation of LSUV initialization

Implementation of Conda's activate/deactivate functions in Powershell.

Combine Baidu Research warpctc with Caffe

Use caffe to train your own data in just one click

CORe50: a new Dataset and Benchmark for Continual Learning

Caffe for Sparse Convolutional Neural Network

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

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

《深度学习与计算机视觉》配套代码

VGG16 architecture with BatchNorm

TensorRT Net Wrapper

A Caffe Re-Implementation of SENet

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

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

Transform the caffe model to pytorch model for Temporal Segment Network

Deformable Convolutional Networks on caffe

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Caffe for YOLOv2 & YOLO9000

Head Pose Estimator on Caffe

A windows caffe implementation of YOLO detection network

FeatherCNN is a high performance inference engine for convolutional neural networks.

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

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

🏭 Collaboratively build, visualize, and design neural nets in browser

pytorch 2 caffe

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

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

Convert Darknet model to Caffe's

A caffe implementation of mobilenet's depthwise convolution layer.

Paperspace API for python

Compact Generalized Non-local Network (NIPS 2018)

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

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

Running the most popular deep learning frameworks on Azure Batch AI

Convert image folder to lmdb, adapted from Efficient-PyTorch

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.

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