Building Knowledge Graph-Driven Chatbot with ChatGPT and ArangoDB

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

scikit-learn: machine learning in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

Your data, your control. Fully open source, authentication and authorization. No lock-ins. Deployment in Railway in 120 seconds || Spin a docker image as a micro-service in your infra. Built in log…

Graph Neural Network Library for PyTorch

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

StellarGraph - Machine Learning on Graphs

The NetworkX adapter for ArangoDB

Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.

This is my Guided Research Project done at German Research Center for AI

Demo Data for ArangoDB

🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaSc…

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Deep learning based lane/freespace detector embedded in ROS node (built for UC3M LSI)

A WebGL viewer for UMAP or TSNE-clustered images

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

PyTorch Extension Library of Optimized Graph Cluster Algorithms

The fastai deep learning library

This is my Master Project done during my internship at German Research Center for AI