280 Open source projects that are alternatives of or similar to Brocolli

Reimplementation ResNet on cifar10 with caffe

convert model from mxnet to caffe without lossing precision

CORe50: a new Dataset and Benchmark for Continual Learning

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Deep Learning Benchmarking Suite

VGG 19 Layers Deep Network

《深度学习与计算机视觉》配套代码

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

Keras version of Realtime Multi-Person Pose Estimation project

TensorRT Net Wrapper

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

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

Joint Detection and Identification Feature Learning for Person Search

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

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Transform the caffe model to pytorch model for Temporal Segment Network

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Data-parallel image stylization using Caffe.

Porting caffe to android platform

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

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

A caffe implementation of mobilenet's depthwise convolution layer.

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

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

A-Fast-RCNN (CVPR 2017)

train resnet on imagenet from scratch with caffe

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

Head Pose Estimator on Caffe

TensorRT for Yolov3

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

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

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

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

Deep Learning GPU Training System

Real-World Anomaly Detection in Surveillance Videos

load caffe prototxt and weights directly in pytorch

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

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Deep networks for Earth Observation

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

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

Convert darknet weights to caffemodel

Convert Darknet model to Caffe's

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

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

SeqFace : Making full use of sequence information for face recognition

A Computation Graph Virtual Machine Based Deep Learning Framework

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!