Prassanna Ravishankar's starred repositories
python-polylith
Tooling support for the Polylith Architecture in Python.
ml-engineering
Machine Learning Engineering Open Book
Pandrator
Pandrator aspires to be a user-friendly app with a graphical interface and a one-click installer that creates high-quality speech from text in multiple languages (audiobooks, speech synchronised with subtitles and more) using local models (XTTS, Silero or VoiceCraft), plus voice cloning, LLM pre-processing, RVC enhancement, and automatic evaluation
fastapi-queue
A task queue based on redis that can serve as a peak shaver and protect your app.
poetry-dynamic-versioning
Plugin for Poetry to enable dynamic versioning based on VCS tags
vscode-clearml-session-manager
VS Code extension for create remote workstations (sessions) using ClearML.
segment-anything-fast
A batched offline inference oriented version of segment-anything
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
python-productivity-stack
A meta-package of awesome packages
poetry-cookiecutter
🍪 Poetry Cookiecutter is a modern Cookiecutter template for scaffolding Python packages and apps
poetry-plugin-pyenv
Poetry plugin to make working with Poetry and Pyenv seamless
bypass-url-parser
bypass-url-parser
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
nvidia-smi-exporter
Nvidia-smi Prometheus exporter with respecting of GPU-UUID