RielKIM

SamsungSouth Korea

Pinned Repositories

.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
00
3-min-pytorch
[WIP] "3분 딥러닝 파이토치맛" 예제 코드
Language:Jupyter Notebook0 1 00
assem-vc
Official Code for Assem-VC
Language:Jupyter Notebook00
audacity-noise-reduction
2-pass noise reduction, pulled out of Audacity
Language:C++00
awesome-go
A curated list of awesome Go frameworks, libraries and software
Language:Go00
awesome_speech_papers
awesome_speech_papers
0 1 00
botfront
An open source chatbot platform built with Rasa
Language:JavaScript0 1 00
ConfigParser
"." 기준으로 config를 설정할 수 있는 configparser 랩핑한 클래스
Language:Python00
configure.for.python
All configuration for developing python
Language:Vim Script00
WordTree
This is splunk app for making wordtree
Language:HTML20

RielKIM's Repositories

RielKIM/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
00
RielKIM/assem-vc
Official Code for Assem-VC
Language:Jupyter Notebook00
RielKIM/awesome-go
A curated list of awesome Go frameworks, libraries and software
Language:Go00
RielKIM/awesome_speech_papers
awesome_speech_papers
0 1 00
RielKIM/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
RielKIM/edge-tts
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
RielKIM/faceshifter
Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)
RielKIM/fai-kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
Language:Shell0 0
RielKIM/gongdols
공돌이의 수학정리노트 Blog/Youtube 소스코드
RielKIM/HiFi-GAN
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
RielKIM/hifi-gan-1
Modified HiFi-GAN for Assem-VC
Language:Python1 0
RielKIM/langflow
⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
Language:Python
RielKIM/large-scale-lm-tutorials
Large-scale language modeling tutorials with PyTorch
RielKIM/mimic-recording-studio
Mimic Recording Studio is a Docker-based application you can install to record voice samples, which can then be trained into a TTS voice with Mimic2
RielKIM/model_analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
RielKIM/nix-tts
🐤 Nix-TTS: An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation
RielKIM/nuwave2
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
RielKIM/OpenTransformer
A No-Recurrence Sequence-to-Sequence Model for Speech Recognition
Language:Python1 0
RielKIM/Parallel-Tacotron2
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Language:Python1 0
RielKIM/parallelformers
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
RielKIM/SMART-Multi-Speaker-Style-TTS
Multi-speaker & Multi-style TTS
Language:Python0 0
RielKIM/StarSpace
Learning embeddings for classification, retrieval and ranking.
RielKIM/stoppic
스탑픽
RielKIM/TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Language:Python1 0
RielKIM/Tinder-App-Flutter
Tinder inspired application created using Flutter and Firebase.
RielKIM/VAENAR-TTS
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
RielKIM/vall-e
An unofficial PyTorch implementation of the audio LM VALL-E
RielKIM/vits
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
RielKIM/vosk-server
WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
RielKIM/Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.