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a-hackers-ai-voice-assistant

A hackers AI voice assistant, built using Python and PyTorch.

again-vc

This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.

ai-foundation

Artificial Intelligent projects to showcase knowledge on AI foundation and theory

ai_class_projects

Projects for Artificial Intelligence Class done in Python 3

androidsamplecode

auraloss

Collection of audio-focused loss functions in PyTorch

background-matting

Background Matting: The World is Your Green Screen

badwords

A highly consumable list of bad (profanity) english words

behavioral_cloning

Training a car simulation to drive by feeding it data on how I drive in the simulation. Using a convolutional neural network that Nvidia used to train their autonomous vehicle.

bulletyn

prototype 2 by me..Ionic, AngularJS ,HTML ,CSS, JavaScript

bulletyn2

initial prototype using ionic..contribution by 3 others --- cloned from initial project name EBOARD

bulletynios

bulletyn iOS MVP

carnd-advanced-lane-lines

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

chatbot

A Neural Conversation Model implemented in PyTorch.

color-names

Provides color names and HTML/RGB mappings in various output formats.

contributors

Contributors building the Mycroft open source project

ctcdecode

PyTorch CTC Decoder bindings

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepspeech-server

A testing server for a speech to text service based on mozilla deepspeech

demucs

Code for the paper Music Source Separation in the Waveform Domain

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

denoising-wavenet-pytorch

detecting_lane_lines_computer_vision

This project is part of the Udacity Self-Driving Car Engineer Nanodegree. This project demonstrate how to find lane lines using grayscale, canny edge detection, and hough transform.

distributed_tutorial

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

docs-rewrite

Mycroft.AI documentation for all public facing technical components. Key contact: @kathyreid

documentation

Build documentation for Mycroft

dpot

Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"