843 Open source projects that are alternatives of or similar to Speech Emotion Recognition

Using Keras and cats to visualize layers from CNNs

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

attention-based LSTM/Dense implemented by Keras

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

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

基于RNN生成古诗

小帅一点资讯微信小程序图像识别源码，微信小程序百度AI接口源码，微信小程序图片上传显示缩放缩略图,人工智能，图像识别，人脸颜值分析，植物、动物、车型、LOGO、食材、手写文字识别等

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

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FPGA Accelerator for CNN using Vivado HLS

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

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

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Neural word segmentation with rich pretraining, code for ACL 2017 paper

Explore Action Recognition

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CNN image classifier implemented in Keras Notebook 🖼️.

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

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Speaker independent emotion recognition

Compute CNN receptive field size in pytorch in one line

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

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

Keras implementation of Legendre Memory Units

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

Chinese Poetry Generation

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

attention based joint model for intent detection and slot filling

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

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

Attention-guided CNN for image denoising(Neural Networks,2020)

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Simple Convolutional Neural Network Library

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

Plain Stock Close-Price Prediction via Graves LSTM RNNs

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

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

A polyfill for Web Neural Network (WebNN) API

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Play MK.js with TensorFlow.js

[REPO] Music Genre classification on GTZAN dataset using CNNs

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Anomaly detection for temporal data using LSTMs

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HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

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Object localization in images using simple CNNs and Keras

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