AL SANI's starred repositories
Anime_face_DCGAN_Keras_Tensorflow
Generative adversarial network | Data augmentation with kaggle anime-faces dataset | Generates new faces.
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Brain-Tumor-Classification-Using-Deep-Learning-Algorithms
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Machine-Learning-Engineer-Roadmap
A Machine Learning Engineer roadmap typically involves mastering programming languages (Python, R), mathematics (linear algebra, calculus), statistics, and deep learning frameworks (TensorFlow, PyTorch) while gaining practical experience in data preprocessing, model development, and deployment.
Become-Data-Scientist-A-Complete-Roadmap
To become a data scientist, follow these steps: 1. Learn programming (Python, R). 2. Acquire math and statistics skills. 3. Master data analysis and visualization. 4. Study machine learning and deep learning. 5. Gain domain knowledge. 6. Build a portfolio and seek job opportunities.
Statistics-Roadmap-for-Data-Science-and-Data-Analysis
Statistics is the field of study that involves collecting, organizing, analyzing, interpreting, and presenting data. It plays a crucial role in various disciplines, from science and business to social sciences and healthcare.
TensorFlow-Developers-Roadmap
TensorFlow is an open-source machine learning framework developed by Google. It provides a versatile platform for creating and deploying machine learning models, particularly neural networks, enabling tasks like image recognition, natural language processing, and more.
PyTorch-Developers-Roadmap
PyTorch is an open-source machine learning framework that provides a flexible platform for building, training, and deploying deep learning models. It is widely used for research and development in artificial intelligence, offering dynamic computation, GPU acceleration, and a rich ecosystem of libraries and tools.
Python-Problem-Statement-and-Solutions
Create a Python Problem Statement to challenge programmers. Specify a task, input/output requirements, and constraints. Ensure clarity and complexity to evaluate coding skills effectively.
Glossary-of-Artificial-Intelligence
A "Glossary of Artificial Intelligence" is a concise reference resource defining key terms, concepts, and terminology related to AI. It provides explanations and definitions to help individuals understand and navigate the field of artificial intelligence, making it a valuable tool for both beginners and experts in the AI domain.
ultralytics
NEW - YOLOv8 ๐ in PyTorch > ONNX > OpenVINO > CoreML > TFLite
transformers
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
transformers
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Car-Brand-Prediction-s-by-Using-ResNet50-Model
ResNet-50 is a convolutional neural network architecture commonly used in deep learning for various computer vision tasks, such as image classification and object detection. It is part of the ResNet (Residual Network) family of architectures, which was introduced by Kaiming in 2015
Awesome-AI-Data-GitHub-Repos
A collection of the most important Github repos for ML, AI & Data science practitioners
Image-Similarity-Index-SSIM-analysis-
In image processing, an image similarity index, also known as a similarity measure or similarity metric, is a numerical value that quantifies the degree of similarity or dissimilarity between two or more images.
Introduction-Deep-Learning-with-Python
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning models can be taught to perform classification tasks and recognize patterns in photos, text, audio and other various data.
All-Resources-of-Artificial-Intelligence
This Repository contains all premium and free resources about Data science and Artificial intelligence fields.
Image-Preprocessing-Image-Transformation-OpenCV
Image preprocessing is a crucial step in image analysis and computer vision tasks. It involves various operations to prepare images for further analysis or feature extraction. OpenCV is a powerful library for image preprocessing in Python.
Gesture-Detection-using-OpenCV-python
To detect motion with OpenCV and Python, you can use the following steps: Capture the video stream using a camera or a video file. Convert each frame of the video stream to grayscale. Apply a background subtraction algorithm to detect the regions where motion is occurring.
cvessentials
Tutorial Series (60 hour course): Essentials of computer vision
Image-Edge-Detection-Convert-to-Blurr-Image-
Edge detection is a technique used in image processing to identify boundaries within an image. It's commonly used in computer vision and image analysis applications. There are several algorithms you can use for edge detection, such as the Canny edge detector, Sobel operator, and Prewitt operator.