Fine-tuned version of DistillGPT trained on medical Q&A datasets. Not for professional medical use. Focuses on expanding coverage and domain-specific reasoning.
A llama2 fine tuned on custom customer support Q and A databse for chat bot applications for businesses and e-commerce
Detects COVID-19, Pneumonia, TB, and Normal conditions from lung X-rays using CNN models.
Classifies ECG signals using LSTM models on PTB XL dataset. F1 scores vary from 60%-90%.
Transfer learning via YOLO for real-time object detection tasks, adaptable to robotics and defense.
Recognizes digits from the MNIST dataset using edge detection and CNNs.
Experiments with CNN, LSTM, and hybrid models for game strategy. LSTM-CNN hybrid underperforms.
Fun implementation of Rock Paper Scissors game using LSTM for move prediction.
This assistant combines multiple powerful tools to provide accurate and context-aware answers: