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

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

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A machine learning experiment

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SincNet is a neural architecture for efficiently processing raw audio samples.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

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image classifier, retrained for specific classes

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in progress

Binary Image Classification in TensorFlow

Deep learning applied to georeferenced datasets

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lidc nodule detection with CNN and LSTM network

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

CNN, LSTM, NBOW, fasttext 中文文本分类

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

Network estimating 3D Handpose from single color images

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Object localization in images using simple CNNs and Keras

Implementation of papers for text classification task on DBpedia

keras를 이용한 딥러닝 기초 학습

Automatic License Plate Recognition System for Vietnamese Plates

A small convolution neural network deep learning framework implemented in c++.

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

Hierarchical Attention Networks for document classification

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机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

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This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

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Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）