mamba-architecture

Streamlines AI research workflows by providing curated Claude skills for data analysis, literature review, experiment design, and research paper generation.

Assists AI researchers in drafting, structuring, and generating machine learning research papers with academic writing best practices and technical precision.

Streamlines distributed machine learning training using Ray, optimizing hyperparameter tuning and parallel model execution across compute clusters.

Streamlines distributed data processing and machine learning workflows using Ray's scalable data loading and transformation capabilities.

Trains compact language models with minimal compute, enabling efficient text generation and fine-tuning on small datasets using PyTorch and transformer architectures.

Compress and transfer complex machine learning model knowledge into smaller, more efficient neural networks with minimal performance loss

Performs high-performance vector similarity search and clustering using Facebook AI's efficient similarity search library for machine learning embeddings.

Perform targeted neural network interventions and activation manipulations to probe model behavior and understand internal representations in PyTorch.

Tokenize and encode text using advanced subword segmentation for multilingual NLP tasks and machine translation models

Automatically segment and extract precise object masks from images using Meta AI's advanced computer vision model with high accuracy and flexibility.