Implementation of the node2vec algorithm.
A python library for self-supervised learning on images.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.