712 Open source projects that are alternatives of or similar to Beauty Net

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Matchable Image Retrieval by Learning from Surface Reconstruction

[Deprecated] 🇨🇳中国二代身份证光学识别

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

News API without any API KEY

Implementing Lambda Networks using Pytorch

Utils for fast.ai course

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

Person re-ID baseline with triplet loss

All about Neural Networks!

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Sentence Classifications with Neural Networks

Best Practices, code samples, and documentation for Computer Vision.

QA - Answer Selection (Rank candidate answers for a given question)

My CS231n lecture notes

Chinese Question Classifier (Keras Implementation) on BQuLD

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

SDK for TEE AI Stick (includes model training script, inference library, examples)

🤖️image regression (base on convnetjs)

Image Retrieval Experiment Using Triplet Loss

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Retrained InceptionV3 image classification model

Datasets, tools, and benchmarks for representation learning of code.

Deformable Convolutional Networks v2 with Pytorch

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

reference tensorflow code for named entity tagging

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

A Keras implementation of MobileNetV3.

Fast Shadow Detection from a Single Image Using a Patched CNN

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

cnn pruning with tensorflow.

A simple example on Image Classification in Node.js with TensorFlow.js

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Network复现

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Data augmentation for NLP, presented at EMNLP 2019

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

This toolbox is support material for the book on CNN (http://www.convolution.network).

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

An example of using Tensorflow with Unity for image classification and object detection.

The deeplearning algorithms implemented by tensorflow

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

End to End Dialect Identification using Convolutional Neural Network

Deploying Keras models using TensorFlow Serving and Flask

A collection of computer vision pre-trained models.