917 Open source projects that are alternatives of or similar to Lightnet

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Variational Auto-Encoders in a Sequential Setting.

End-2-end speech synthesis with recurrent neural networks

Context-Dependent Sentiment Analysis in User-Generated Videos

Using Keras and cats to visualize layers from CNNs

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

Neural machine translator for English2German translation.

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

A polyfill for Web Neural Network (WebNN) API

Hierarchical Attention Networks for Chinese Sentiment Classification

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Play MK.js with TensorFlow.js

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

Explore Action Recognition

PCN based on ncnn framework.

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

Event-based music generation with RNN using PyTorch

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

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

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

Try to use tf.estimator and tf.data together to train a cnn model.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Tools to Design or Visualize Architecture of Neural Network

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

Character-level Convolutional Networks for Text Classification论文仿真实现

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

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

[REPO] Music Genre classification on GTZAN dataset using CNNs

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

CNN acceleration on virtex-7 FPGA with verilog HDL

Object localization in images using simple CNNs and Keras

Facelet-Bank for Fast Portrait Manipulation (pytorch)

Style transfer using deep convolutional neural nets

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Bert-classification and bert-dssm implementation with keras.

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Tutorials of deep learning for computer vision.

TensorFlow code for finetuning I3D model on UCF101.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

attention based joint model for intent detection and slot filling

基于卷积神经网络的语音识别声学模型的研究