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

Deep Learning--深度学习

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

A DCGAN to generate anime faces using custom mined dataset

DVDnet: A Simple and Fast Network for Deep Video Denoising

Models for predicting emotions from English tweets.

Face identification with cnn+triplet-loss written by Keras.

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

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

Annotation of ECG signals using deep learning, tensorflow’ Keras

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Using Machine Learning to predict the type of exercise from movement data

[Deprecated] 🇨🇳中国二代身份证光学识别

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

Machine learning, in numpy

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

Keras implementation of Legendre Memory Units

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

All my experiments with AI and ML

copper price(time series) prediction using bpnn and lstm

A Tensorflow implementation of QANet for machine reading comprehension

PyTorch implementation of SIFT descriptor

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

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

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

Some of the ML and DL related reading materials, research papers that I've read

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

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

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

A deep learning based gaze estimation framework implemented with PyTorch

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

OpenCV 3 & Keras implementation of face recognition for specific people.

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

x86_64 AMD kernel optimized for performance & hypervisor usage

attention based joint model for intent detection and slot filling

My Attempt(s) In The World Of ML/DL....

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

The homework of my 3rd-term

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

Solution to Kaggle - Web Traffic Time Series Forecasting

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

SDK for TEE AI Stick (includes model training script, inference library, examples)

Simple Convolutional Neural Network Library

PyTorch implementation of LeNet-5 with live visualization

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

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

CNN CBIR benchmark (ongoing)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Learning Deep Features for Discriminative Localization (2016)

用 Tensorflow.js 猜猜我的女朋友在想什么. A Tensorflow.js application for facial classification.

PCN based on ncnn framework.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/