KshitijAggarwal
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Efficient approach to speaker diarization using voice characteristics extraction
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free
CoreNet: A library for training deep neural networks
Open weights language model from Google DeepMind, based on Griffin.
Building blocks for foundation models.
A collection of learning resources for curious software engineers
High precision scientific calculator with support for physical units
DSPy: The framework for programming—not prompting—foundation models
Collection of all the GPTs created by the community
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
Curated list of AI-powered developer tools.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Pen and paper exercises in machine learning
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
I am trying to describe complex matters in simple doodles!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Machine Learning Engineering Open Book
Hackable and optimized Transformers building blocks, supporting a composable construction.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Public repository for FRB Journal Club at Department of Physics and Astronomy at WVU
3
Updated Feb 25, 2024
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Resumes generated using the GitHub informations
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
