Mark-XXX-XXX's starred repositories
llama3.2-webUI
LLaMa 3.2 Multimodal Web UI is a user-friendly interface for interacting with the Ollama platform.
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
gemma-2B-10M
Gemma 2B with 10M context length using Infini-attention.
DeepSeek-Coder-V2
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
FLIR-Spinnaker-YOLO
NEW - ✔️ FIRST EVER ✔️ - FLIR 🔥 Spinnaker SDK in YOLO 🚀 using YOLOv8
FakeCurrencyDetection
Fake Currency Detection is a real problem for both individuals and businesses. Counterfeiters are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. At least for the human eye. I will introduce you to Fake Currency Detection with Machine Learning. Fake Currency Detection is a task of binary classification in machine learning. If we have enough data on real and fake banknotes, we can use that data to train a model that can classify the new banknotes as real or fake.
Currency_detection_system
A python based web application provides an interface to detect the denomination of the currency that have been inputted
CounterfeitCurrencyDetection
A web application which detects a counterfeit note when an image of a 500 or 2000 rupee note is given.
Fake-currency-detection
Fake currency detection refers to the process of identifying counterfeit money or currency notes that are illegally produced and circulated
fake-currency-detection
to detect the fake currency using different learning algorithms
fake_currency_detection
fake currency detection using basic image processing techniques using opencv
fake-currency-detection
Fake Currency detection webapp