A tiny deep learning library written in Java

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

a Haskell library and runtime for building, compiling, and executing machine learning programs targeting StableHLO

Hybrid Quantum–Classical model for brain tumor classification using Quantum FiLM modulation and ResNet-18. Supports multi-class MRI tumor detection with quantum circuit integration.

Using Markov-Chain Monte-Carlo algorithms to find patterns with specific properties in the game of life - A new approach to balance exploration vs. exploitation

🧠 Detect brain tumors using a hybrid Quantum + Classical model with MRI images, enhancing accuracy and efficiency in diagnosis through advanced AI.

🧠 Classify brain tumors using a hybrid QCNN with ResNet for accurate MRI image analysis across multiple categories, including no tumor detection.