Reverse Dependencies of torchaudio

The following projects have a declared dependency on torchaudio:

• Pyara — Library for audio classification
• pyBibX — A Bibliometric and Scientometric Library Powered with Artificial Intelligence Tools
• pyclarity — Tools for the Clarity Challenge
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• pyfoal — Python forced aligner
• pygranso-cpu — PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation
• PyIAAS — Code of IAAS Framework
• pykoopman — Python package for data-driven approximations to the Koopman operator.
• pylaia — no summary
• pyncer — yet a captcha library
• pyniche — An AI Library for Niche Squad
• pyprocessors-silero — text repunctuation and recapitalization for
• pyserini-install — A Python toolkit for reproducible information retrieval research with sparse and dense representations
• pystorm3 — Python implementation of some Brainstorm functions
• pythaiasr — Python Thai ASR
• python-auditory-toolbox — Several simple auditory models in JAX, Numpy and Torch
• python-dataset — no summary
• pyting — Data-Driven Shock Capturing
• pytorch-sdk — no summary
• PyTorchLab — Realize code in AI field with PyTorch and Lightning.
• PytorchWildlife — a PyTorch Collaborative Deep Learning Framework for Conservation.
• pyw2v2 — Simple wav2vec2 wrapper
• qualia-core — Qualia toolchain Core
• questionnaire-mistral — no summary
• QuickTune — Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
• rapidnlp-datasets — Data pipelines for TensorFlow and PyTorch.
• raw-speech-classification — Trains CNN classifiers from raw speech using Keras and tests them.
• rayleaf — RayLEAF: a flexible, highly-scalable benchmark for federated learning
• rctorch — A Python 3 toolset for creating and optimizing Echo State Networks. This library is an extension and expansion of the previous library written by Reinier Maat: https://github.com/1Reinier/Reservoir
• realtime-client — no summary
• RealTimeSTT — A fast Voice Activity Detection and Transcription System
• reputationsystemstest — Dynamic Structural Modeling and Approximate Bayesian Inference of Online Reputation System
• resemble-enhance — Speech denoising and enhancement with deep learning
• retriv — retriv: A Python Search Engine for Humans.
• rev-reverb — A simplified python packge to interact with the reverb models
• reviutils — A common library frequently used on python
• rhizonet-package — Python package for RhizoNet-package
• riffusion — Stable diffusion for real-time music generation.
• rlmc — Python utils for AI 🚀
• rnaformer — RNAformer
• rob-pitch — Robust pitch prediction using PyTorch
• robobo-emotion — Librería para detectar emociones en imágenes y audio usando Robobo
• rodan — Advanced Deep Learning Library
• roerich — Change point detection.
• roicat — A library for classifying and tracking ROIs.
• rshf — RS pretrained models in huggingface style
• rsp-drl — Some basic functionalities
• rvc-python — Use RVC via console or python scripts
• sagemaker-huggingface-inference-toolkit — Open source library for running inference workload with Hugging Face Deep Learning Containers on Amazon SageMaker.
• samosila-core — no summary
• scAtlasVAE — scAtlasVAE: a deep learning framework for atlas-scale scRNA-seq integration and analysis
• scButterfly — A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
• scDiffusion — scDiffusion(Single-Cell graph neural Diffusion) is a physics-informed graph generative model to do scRNA-seq analysis. scDiffusion investigates cellular dynamics utilizing an attention-based neural network.
• schp — Package of Self Correction for Human Parsing
• scpram — scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
• scprint — scPRINT is a Large Cell Model for Gene Network Inference, Denoising and more from scRNAseq data
• scslat — A graph deep learning based tool to align single cell spatial omics data
• scUNAGI — A Python package for UNAGI
• sdab — Khmer Speech To Text Inference API using Wav2Vec2 with Pretrain Model
• seacrowd — no summary
• secretflow — SecretFlow
• seismic-classifier — trace by trace seismic classification
• selfeeg — Self-Supervised Learning for EEG
• semilearn — Unfied Semi-Supervised Learning Benchmark
• senselab — Senselab is a Python package that simplifies building pipelines for speech and voice analysis.
• serm — SERM is a high-performance data-driven gene expression recovery framework.
• sgmse — Speech enhancement model using SGMSE
• shapeaxi — Shape Analysis Exploration and Interpretability
• shazbot — Sound Hierarchy Attribute Zeitgeist Before Oligarchy Take
• ShortGPT — Automating video and short content creation with AI
• shttst — Shmart TTS tools.
• silero — Silero Models: pre-trained enterprise-grade STT / TTS models and benchmarks.
• silero-api-server — A simple FastAPI server to host Silero TTS
• silero-tts — Script over the official Silero so that it can be conveniently and quickly used from the code or from the console
• silero-vad — Voice Activity Detector (VAD) by Silero
• silero-vad-fork — A packaged version of the Silero VAD model
• simple-asr — Wrapper module around wav2vec2 designed for ease of use
• simple-diarizer — Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code
• singletrader — a package for backtesting and factor analysis
• siste-test — HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application.
• skeletorch — Pytorch implementation of skeleton transformer module
• slakh-dataset — Unofficial PyTorch dataset for Slakh
• slg-nimrod — minimal deep learning framework
• sliceguard — A library for detecting critical data slices in structured and unstructured data based on features, metadata and model predictions.
• smartdiffusion — A library for making it easier to work with neural networks
• smiles-featurizers — A python library for extracting molecular SMILES embeddings from language models pre-trained with various objectives and/or architectures.
• snngrow — Third-generation Artificial Intelligence SNN Universal Implementation
• so-vits-svc-fork — A fork of so-vits-svc.
• so-vits-svc-fork-mandarin — A mandarin translation version of a fork of so-vits-svc.
• soarv1 — no summary
• socialED — A Python Library for Social Event Detection
• sonar-space — SONAR provides a set of speech and text encoders for multilingual, multimodal semantic embedding.
• sonusai — Framework for building deep neural network models for sound, speech, and voice AI
• Sound-cls — no summary
• sound-scape-explorer — SoundScapeExplorer
• sound-scape-explorer-test — SoundScapeExplorer
• soundstream — Implementation of SoundStream, an end-to-end neural audio codec
• spaceTree — PyPI package for multi-task label transfer from single-cell refrence data to spatial data
• sparseml — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sparseml-nightly — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models