komal_lamba's repositories
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Awesome-Super-Resolution
lots of single image super resolution model implementations in tensorflow
private-ai
Repo for Udacity's Secure & Private AI course
Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech_Emotion_Recognition
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
Toilet-Flush-Convolutional-Neural-Net
Constructed a convolutional neural network to classify audio files as being one of the classes [toilet, urinal, sink, unknown]. First a test model was built and trained on an environmental audio dataset called UrbanSounds with 11 sound classes, and a classification accuracy of 97.56% was eventually achieved. The model was built using a VGG architecture and the dataset was augmented with 3 levels of noise reduction per clip and horizontal translation of the clip accross the 30 second input window used as the feature vector. Currently working on collecting & augmenting data to build the final model. The purpose of this project is to automate the detection and counting of toilet/urinal/sink uses in a given time period from an audio device so that the amount of water used by a given bathroom over a specified time period can be calculated. This project was motivated by work I'm doing for Bruin Home Solutions, a sustainability club I run at UCLA.
Track_the_feedback
A data pipeline to scrape and analyze posts from social media for tracking feedback on a specific product/brand.
Audio-DNN-Classification
Deep Neural Topologies for audio classification
Awesome-SuperResolution
awesome super resoluiton paper collections w/o code including paper citation
densenet_1d
An implementation of DenseNet for 1D inputs in Keras
depthwiseconv1d
Keras 1D Depthwise Convolutional layer
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
hybrid-recommender
Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.
IEMOCAP-Emotion-Detection
Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.
librosa
Python library for audio and music analysis
NINA-Dataset
Script to create the crash sound dataset
paper_implementations
Implementation of interesting research papers
real-world-machine-learning
Code accompanying the Real-World Machine Learning book
resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
resource-allocation-using-optimization-algorithms
Resource allocation using optimization algorithms and python. Assigning the right resources with the right skills to specific projects or activities with certain requirements.
Speech-emotion-Recognition-using-SVM
Used SVM model to classify emotions on SAVEE dataset
srcnn-tf2
Implementation and experimentation of the SRCNN model in TensorFlow 2.0
Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
student-performance-prediction
predicting student academic performance
Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer