969 Open source projects that are alternatives of or similar to Awesome Speech Enhancement

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

This repository contains notes and projects of Data scientist track from dataquest course work.

https://machinelearning.wtf/ - An online glossary of machine learning terms.

Microcontroller targeted C library for Kalman filtering

Machine learning algorithms for many-body quantum systems

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

A Java program to implement a DMTF Decoder.

Codebase for RS-MET products (Robin Schmidt's Music Engineering Tools)

No description or website provided.

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

The Mines Java Toolkit

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

A notebook for machine learning interview

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

Taller SparkR para las Jornadas de Usuarios de R

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Audio Watermarking

[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

R Data Structures and Algorithms, published by Packt

Examples how MLJAR can be used

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

Audio or speech signal processing guide.

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

UniSpeech - Large Scale Self-Supervised Learning for Speech

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

All content related to machine learning from my blog

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Darwin C++ and Python Machine Learning Framework for Cyber Security

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

anomaly detection with anomalize and Google Trends data

A real-time netlist based audio circuit plugin

No description or website provided.

subsemble R package for ensemble learning on subsets of data

a neural network toolbox for animal vocalizations and bioacoustics

A novel framework for processing raw GNSS measurements on an Android smartphone

Implementations of normalizing flows using python and tensorflow

An intelligently dumb calculator that uses machine learning

Decodes VOR signal from WAV file to get the bearing to your position

Social Signal Processing for Android

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

Elegant Butterworth and Chebyshev filter implemented in C, with float/double precision support. Works well on many platforms. You can also use this package in C++ and bridge to many other languages for good performance.

A library that implements fairness-aware machine learning algorithms

PROSAC algorithm in python

Tensorflow implementation of the Restricted Boltzmann Machine

Scripts for LIUM SpkDiarization tools

AntroPy: entropy and complexity of (EEG) time-series in Python

The simplest Perceptron you'll ever see

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.

Feature extraction of speech signal is the initial stage of any speech recognition system.

(1st place at HopHacks) A dynamic webVR memory palace for speech training, utilizing natural language processing and Google Streetview API