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Jun 1, 2024 - TeX
Deep neural networks
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
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An Open Source Machine Learning Framework for Everyone
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University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
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This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
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A Model build to detect the emotion of the image provided by the use of computer vision, Deep Neural Network and ML.
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Implement Deep Q Learning to train agent for Lunar Landing
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Implement A3C to Train KungFu Master
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Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
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This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.
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Jun 1, 2024 - Jupyter Notebook
This is a web application that is used to restore the early days photos and filterized them based on our requirements.
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Jun 1, 2024 - Python
To memorize the journey start from self-driving Car Engineer Nanodegree Program to Artificial Intelligence Nanodegree Program to Flying Car Nanodegree Program then Robotics Software Engineer Nanodegree Program and AI for Trading Nanodegree program
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A flexible, high-performance serving system for machine learning models
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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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oneAPI Deep Neural Network Library (oneDNN)
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Code from PLDI '23 paper "Architecture-Preserving Provable Repair of Deep Neural Networks."
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Jun 1, 2024 - HCL
A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.
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Use DNNs to build encoding models of EEG visual responses.
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May 31, 2024 - Python
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
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Jun 1, 2024 - Jupyter Notebook
Scalable and user friendly neural 🧠 forecasting algorithms.
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May 31, 2024 - Python
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