990 Open source projects that are alternatives of or similar to Unet Zoo

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

Natural Language Processing with TensorFlow, published by Packt

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

CNN, LSTM, NBOW, fasttext 中文文本分类

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

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

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

The Official Deep Learning Framework for Route-based Place Recognition

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

All about Neural Networks!

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

PyTorch tutorial for learners

코딩셰프의 3분 딥러닝, 케라스맛

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Deep learning for audio denoising

lidc nodule detection with CNN and LSTM network

A deep learning library to provide algs in pure Numpy or Tensorflow.

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

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Recurrent Additive Networks for Tensorflow

Image Captioning using InceptionV3 and beam search

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

A neural network that transforms a design mock-up into a static website.

Deep learning codes and projects using Python

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Video prediction using lstm and unet

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Hands-on in-person workshop for Deep Learning with TensorFlow

RNN-LSTM that learns passwords from a starting list

LSTM based human activity recognition using smart phone sensor dataset

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

Enhanced BiLSTM Inference Model for Natural Language Inference

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

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

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Deep Learning

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

A siamese LSTM to detect sentence/question pairs.

stock predict by cnn and lstm

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

CPU and GPU implementations of some 2D RNN layers

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

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