Stars
the AI-native open-source embedding database
Open-source vector similarity search for Postgres
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Limiter, compressor, convolver, equalizer and auto volume and many other plugins for PipeWire applications
γͺγ’γ«γΏγ€γ γγ€γΉγγ§γ³γΈγ£γΌ Realtime Voice Changer
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Pixel perfect icon theme for Linux
Timething is a library for aligning text transcripts with their audio recordings.
Text to speech alignment using CTC forced alignment
Command line utility for forced alignment using Kaldi
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
Noise supression using deep filtering
Deezer source separation library including pretrained models.
AI Audio Datasets (AI-ADS) π΅, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio aβ¦
π A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
A text editor in β€1024 lines of code, written in Rust
π Discover best-of lists with awesome open-source projects on all kinds of topics.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Library for fast text representation and classification.
A series of large language models trained from scratch by developers @01-ai
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
https://huyenchip.com/ml-interviews-book/