Stars
DSPy: The framework for programming—not prompting—foundation models
In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of th…
📚 Freely available programming books
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A playbook for systematically maximizing the performance of deep learning models.
A curated list of software and architecture related design patterns.
A collection of inspiring resources related to engineering management and tech leadership
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
The Ecoacoustic Dataset from Arctic North Slope Alaska
Impossible Dev Tools for React and Tailwind
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
FSA/FST algorithms, differentiable, with PyTorch compatibility.
Tools for handling speech data in machine learning projects.
Python implementation of performance metrics in Loizou's Speech Enhancement book
Speech enhancement system for the CHiME-5 dinner party scenario
Latex code for making neural networks diagrams
✅ The Node.js best practices list (July 2024)
Automatic differentiation with weighted finite-state transducers.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Python library for working with Music Information Retrieval datasets
A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Ama…
Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM