notion-knowledge-capture

Converts PyTorch models to ONNX format for cross-platform inference, optimizing deep learning model deployment and performance.

Generates Minecraft Pocket Edition (MCPE) mod and addon build configurations with automated resource packaging and version management

Streamlines PyTorch model training with simplified distributed computing, logging, checkpointing, and advanced training workflows across GPUs and TPUs.

Automates Notion research workflows by extracting, organizing, and structuring research notes, sources, and insights into clean, actionable documentation.

Perform local retrieval-augmented generation using Ollama models, enabling context-aware Q&A and document analysis without external API dependencies.

Streamlines model compression and performance optimization in PyTorch by implementing quantization techniques for reduced memory and faster inference

Deploys and manages machine learning models using PyTorch's TorchServe framework for scalable and efficient model serving

Streamlines PyTorch model development with optimized tensor operations, neural network layers, and training workflows for deep learning projects.

Fine-tune large language models efficiently using LoRA with optimized memory and performance for machine learning practitioners.

Generates high-quality text, code, and creative content using Google's advanced generative AI models with customizable parameters and outputs.