397 Open source projects that are alternatives of or similar to autodial

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

Python REST API to detect images with adult content

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

MTCNN with Motion Detection, on Raspberry Pi with Love

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

DilatedNet in Keras for image segmentation

Auto-ReID and Other Person Re-Identification Projects

☕️ Fast-RCNN and Scene Recognition using Caffe

Real-time visual object tracking using correlations filters and deep learning

pytorch to caffe by onnx

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

A Caffe-based implementation of very deep convolution network for image super-resolution

The code for preparing the training data for crowd counting / segmentation algorithm.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

php wrapper for opencv

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Adversarial Discriminative Domain Adaptation in Chainer

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

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):

Optimised Caffe with OpenCL supporting for less powerful devices such as mobile phones

pytorch to caffe by onnx

Chainer implementation of waifu2x

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

UCloud AI SDK

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

A collection of AWESOME things about domian adaptation

Data Augmentation for Caffe

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018

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

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

No description or website provided.

python 3 pytorch implementation of DANN

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.

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

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

Domain Adaptive Faster R-CNN in PyTorch

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

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

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

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

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Pytorch implementation of Deep Reconstruction Classification Networks

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

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets

caffe-yolo-9000

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

VGG 19 Layers Deep Network