AWESOME DATA SCIENCE
Section: Deep Learning Packages
Entry
Appears in 6 awesome lists
A set of tools and building blocks for audio and speech processing, designed to accelerate the development and deployment of machine learning applications in these domains. It offers GPU-compatible, differentiable, and production-ready components, making it valuable for integrating audio…
Section: Deep Learning Packages
Section: 11. Specialized Domains · PyTorch audio processing library. Comprehensive toolkit for audio I/O, transformations, and deep learning with support for speech recognition, TTS, and audio classification. BSD-2-Clause licensed.
Section: Computer Audition · An audio library for PyTorch.
Section: Audio Related Packages · octocat: - PyTorch Audio Loaders
Section: NLP & Speech Processing: · simple audio I/O for pytorch.
Section: Media Tools · A set of tools and building blocks for audio and speech processing, designed to accelerate the development and deployment of machine learning applications in these domains. It offers GPU-compatible, differentiable, and production-ready components, making it valuable for integrating audio…
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
Allows the user to manipulate documents based on data to render charts in SVG.
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.