418 Open source projects that are alternatives of or similar to Deepnet

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

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

Artificial Intelligence Learning Notes.

stock predict by cnn and lstm

Imputation method for scRNA-seq based on low-rank approximation

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Efficient, transparent deep learning in hundreds of lines of code.

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Win probability predictions for League of Legends matches using neural networks

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Keras implementation of a ResNet-CAM model

The Convolutional Neural Network(CNN) for Android

Kervolution Library in PyTorch (CVPR 2019 Oral)

Impementation of MobileNetV2 in pytorch

A Keras implementation of MobileNetV2.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Semantic JPEG image compression using deep convolutional neural network (CNN)

CNN acceleration on virtex-7 FPGA with verilog HDL

LCNN: End-to-End Wireframe Parsing

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Finetune ConvNets with Tensorflow

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Selective Classification For Deep Neural Networks.

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

Implementation of key concepts of neuralnetwork via numpy

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

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

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

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

licence plate detection and recognition

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

MODS with external deep descriptors/detectors

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

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Hierarchical Attention Networks for document classification

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

CNN for Chinese Text Classification in Tensorflow

📚 嵌入式系统基础知识与主流编程语言相关内容总结

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

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

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

Tengine is a lite, high performance, modular inference engine for embedded device

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Natural Language Processing with TensorFlow, published by Packt

PyTorch Implementation of Deformable Convolution

PyTorch Implementations of Dropout Variants

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/