280 Open source projects that are alternatives of or similar to Caffe Augmentation

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

Training Toolbox for Caffe

Kaggle dogs vs cats solution in Caffe

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

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

A deep convolutional neural network system for live emotion detection

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

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

[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.

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

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.

faster-rcnn c++ python model

Trajectory-pooled Deep-Convolutional Descriptors

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

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

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

A Computation Graph Virtual Machine Based Deep Learning Framework

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

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

A caffe implementation of MobileNet-YOLO detection network

MobileNet-v2 experimental network description for caffe

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

AI on Hadoop

Setup and customize deep learning environment in seconds.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Evaluation of the CNN design choices performance on ImageNet-2012.

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

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

Add-on package for ONNX format support in Chainer

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Largest list of models for Core ML (for iOS 11+)

vehicle image retrieval using k CNNs ensemble method

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Caffe Implementation of Google's MobileNets (v1 and v2)

Generate a quantization parameter file for ncnn framework int8 inference

SeqFace : Making full use of sequence information for face recognition

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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

Multi-object trackers in Python

face detection and alignment with mtcnn

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Trojan Attack on Neural Network

This is a fast caffe implementation of ShuffleNet.

MobilNet-SSD object detection in opencv 3.4.1

A real-time object detection framework of Yolov3/v4 based on caffe

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

A collection of Audio and Speech pre-trained models.

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

A Caffe Re-Implementation of SENet

Caffe for YOLOv2 & YOLO9000

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

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

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