🔊 Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset types. 🎧👥📊 Advanced audio processing.

Github trending backup by everyday.

Curated list of useful LLM / Analytics / Datascience resources

PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Anthropic's educational courses

Open-Sora: Democratizing Efficient Video Production for All

Repository for the Paper "Multi-LoRA Composition for Image Generation"

PALLAIDIUM - a generative AI movie studio integrated in the Blender Video Editor.

[ECCV 2024] OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models

A toolkit for sonar signal processing

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

Stable Video Diffusion Training Code and Extensions.

Learning Motion from Low-Rank Adaptation

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

[CSUR] A Survey on Video Diffusion Models

Enjoy the magic of Diffusion models!

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Making large AI models cheaper, faster and more accessible

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

A comprehensive list of awesome contrastive self-supervised learning papers.

Towards hot directions in industrial end to end speech recognition

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS…

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, L…

Speech-to-text server framework with next-gen Kaldi