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

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):

Add-on package for ONNX format support in Chainer

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

vehicle image retrieval using k CNNs ensemble method

MTCNN with Motion Detection, on Raspberry Pi with Love

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

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

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

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

face detection and alignment with mtcnn

MobilNet-SSD object detection in opencv 3.4.1

Oriented Response Networks, in CVPR 2017

A collection of Audio and Speech pre-trained models.

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

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

Data Augmentation for Caffe

Caffe to VHDL

AI on Hadoop

Active Convolution

Auto-ReID and Other Person Re-Identification Projects

Training Toolbox for Caffe

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

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.

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

A deep convolutional neural network system for live emotion detection

SeqFace : Making full use of sequence information for face recognition

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

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 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

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

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

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

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

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.

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

A caffe implementation of MobileNet-YOLO detection network

Kaggle dogs vs cats solution in Caffe

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

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

Setup and customize deep learning environment in seconds.

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

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

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

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

[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.

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]

php wrapper for opencv

Trajectory-pooled Deep-Convolutional Descriptors

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

Combine Baidu Research warpctc with Caffe