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ai-ipcam

Enhancing ordinary IP cameras with AI, MQTT

ai-tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

amazfit-bip-kr

Amazfit Bip Korean Firmware and tools for making it

arduino_lanc_sample

Arduino camera remote control (LANC interface)

audio_visual_speech_enhancement

Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments

av_hubert

A self-supervised learning framework for audio-visual speech

awesome-selfhosted

A list of Free Software network services and web applications which can be hosted on your own servers

bert

TensorFlow code and pre-trained models for BERT

bert-japanese

BERT with SentencePiece for Japanese text.

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

big-mac-data

Data and methodology for the Big Mac index

bigfive-web

Website for taking personality tests

bluemagic32

Arduino ESP32 Library for connecting to Blackmagic Cameras using Bluetooth Low Energy.

bmpc-lanc-midi

Control the Blackmagic Pocket Camera via MIDI using a PC or other equipment with the LANC protocol

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

chainer-clarinet

chart-doctor

Sample files to accompany the FT's Chart Doctor column

claf

CLaF: Clova Language Framework

convolutionaneuralnetworkstoenhancecodedspeech

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

cross-cutting

[제 10회 투빅스 컨퍼런스] AI 아이돌 교차편집

dancenet

DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

databerry

The no-code platform for building custom LLM Agents

dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

dctts-pytorch

The pytorch implementation of DC-TTS

ddt4all

OBD tool

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-learning-tensorflow-book-code

[『텐서플로로 배우는 딥러닝』, 솔라리스, 영진닷컴, 2018] 도서의 소스코드입니다.

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep-ranking

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow