Plug and play modules to optimize the performances of your AI systems
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Updated
Mar 11, 2023 - Python
Plug and play modules to optimize the performances of your AI systems
A PyTorch-based Speech Toolkit
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Create
A library for training and deploying machine learning models on Amazon SageMaker
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Text generator is a handy plugin for Obsidian that helps you generate text content using GPT-3 (OpenAI).
A multi-page streamlit app for geospatial
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using
Utilities to use the Hugging Face hub API
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
Lightweight web API for visualizing and exploring all types of datasets - computer vision, speech, text, and tabular - stored on the Hugging Face Hub
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
MLOps for AWS SageMaker
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