zmyzheng / Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). …
☆40Updated 6 years ago
Alternatives and similar repositories for Neural-Networks-and-Deep-Learning:
Users that are interested in Neural-Networks-and-Deep-Learning are comparing it to the libraries listed below
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆46Updated 8 months ago
- This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.☆13Updated 5 years ago
- Sound Classification using Neural Networks☆50Updated 2 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 6 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆104Updated 3 years ago
- ☆90Updated 2 years ago
- Urban sounds classification with Covnolutional Neural Networks☆36Updated 5 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆28Updated 5 years ago
- This repository contains example of keras-tcn on easy way.☆56Updated 4 years ago
- Time series course Fall 2019 project☆54Updated 4 years ago
- Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classifica…☆94Updated 3 years ago
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆120Updated 4 years ago
- Music genre classification using Convolutional Neural Networks on Spectrograms in PyTorch☆39Updated 5 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆95Updated 2 years ago
- CNN 1D vs 2D audio classification☆104Updated 6 years ago
- Extract features from recorded EEG signal to detect driver fatigue with an ML/DL Hybrid Classifier☆14Updated 4 years ago
- Detection of Emotion and its cause from text☆19Updated 4 years ago
- Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers☆52Updated 7 years ago
- Genre Classification using Convolutional Neural Networks☆31Updated 6 years ago
- Real-time human emotion detection and analysis through voice and speech pattern processing☆27Updated 6 years ago
- Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]☆26Updated 5 years ago
- ☆13Updated 4 years ago
- [ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs☆35Updated 4 years ago
- Classifying Audio to Emotion☆28Updated 5 years ago
- Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)☆60Updated 2 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆129Updated 4 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 years ago
- ☆37Updated 6 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆92Updated 4 years ago