⚡ TabPFN: Foundation Model for Tabular Data ⚡

A specialized question-answering system focused on medieval arms, armor, and related topics using a fine-tuned LLaMA 3.2 model.

A RESTful API for managing (medieval knowledge) tasks built with FastAPI, PostgreSQL, and Redis, with RAG capabilities using multiple PDF and EPUB files as knowledge base.

Example models using DeepSpeed

Neo4j Graph Example Movies Recommendation

Software for designing and simulating bows

A Collection of Variational Autoencoders (VAE) in PyTorch.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Ongoing research training transformer models at scale

Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

PX4 Autopilot Software

Source code for the X Recommendation Algorithm

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

Download market data from Yahoo! Finance's API

Graph Neural Networks with Keras and Tensorflow 2.

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1…

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1…

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

"dynoNet: a neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

Native Python WFDB package

Bitwarden infrastructure/backend (API, database, Docker, etc).

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Some simple Airflow pipelines to check and notify for PS5 availability.

HIP: C++ Heterogeneous-Compute Interface for Portability