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Latent Consistency Model for AUTOMATIC1111 Stable Diffusion WebUI
[CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution
Manipulate audio with a simple and easy high level interface
Faster Whisper transcription with CTranslate2
Transcription, forced alignment, and audio indexing with OpenAI's Whisper
Official Python library for the DeepL language translation API.
A pytorch implementation of several approaches using PINN to slove turbulent flow
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
Easily train a good VC model with voice data <= 10 mins!
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
raryelcostasouza / pyTranscriber
Forked from agermanidis/autosubpyTranscriber can be used to generate automatic transcription / automatic subtitles for audio/video files through a friendly graphical user interface.
JAutosub is a pre-packaged version of Autosub with a Java GUI for generating automatic subtitles or transcribing audio
[NO LONGER MAINTAINED] Command-line utility for auto-generating subtitles for any video file
Deezer source separation library including pretrained models.
real time japanese speech recognition translator using wav2vec2
40 Algorithms Every Programmer Should Know, published by Packt
A WebGL accelerated JavaScript library for training and deploying ML models.
Single Page App with FastAPI and React
Instant neural graphics primitives: lightning fast NeRF and more
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Code release for NeRF (Neural Radiance Fields)
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.