by Zainul Abideen | Jun 15, 2025
Introduction to TensorFlow Serving TensorFlow Serving is an open-source framework designed to facilitate the deployment of machine learning models in production environments. Developed by Google, it provides a flexible architecture for serving models, enabling...
by Zainul Abideen | Jun 15, 2025
Introduction to MMDetection MMDetection is an open-source toolbox designed for object detection tasks, developed by the OpenMMLab team. With a focus on flexibility and modularity, MMDetection supports various detection algorithms and architectures, making it a go-to...
by Zainul Abideen | Jun 15, 2025
Introduction to Stable Baselines3 Stable Baselines3 is a set of reliable implementations of reinforcement learning (RL) algorithms based on PyTorch. It is designed to provide a simple and efficient way to train RL agents, making it an essential tool for researchers...
by Zainul Abideen | Jun 15, 2025
Introduction to OpenAI’s Gym OpenAI’s Gym is a powerful toolkit designed for developing and comparing reinforcement learning algorithms. With a wide array of environments, Gym provides a standardized interface for various tasks, making it easier for...
by Zainul Abideen | Jun 15, 2025
Introduction to YOLOv5 YOLOv5 is a state-of-the-art object detection model developed by Ultralytics. It is designed to provide high accuracy and speed for real-time object detection tasks. With its robust architecture and ease of use, YOLOv5 has become a popular...
