🔥 Ignite your machine learning projects with our PyTorch Lab! This repository offers a wealth of free PyTorch resources and an interactive online Playground. Ideal for AI researchers, data scientists, and developers diving into the world of deep learning and neural networks.
| Index | Name | Category | Description |
|---|---|---|---|
| 1 | Deep Learning | University Courses | Explore the fundamentals of deep learning, from basic concepts to advanced topics, with hands-on experience in PyTorch. Prepare to understand and extend the current literature on deep learning. |
| 2 | Free and Open Machine Learning | Technical Tutorials | Discover the power of open-source machine learning with this comprehensive guide, covering key concepts, architecture, and FOSS tools for practical business applications. |
| 3 | Deep Learning for Coders with Fastai and PyTorch | Technical Tutorials | Comprehensive introduction to deep learning using the fastai library and PyTorch, suitable for beginners and experienced coders. |
| 4 | Deep Learning for Computer Vision | University Courses | Comprehensive introduction to deep learning techniques for computer vision tasks, including image classification, object detection, and segmentation. |
| 5 | Neural Networks: Zero to Hero | University Courses | Comprehensive video series by renowned expert Andrej Karpathy, covering neural network fundamentals, advanced techniques, and practical applications. |
| 6 | Practical Deep Learning for Coders | University Courses | Learn how to apply deep learning and machine learning to real-world problems with this free course from fast.ai. Build and train models for computer vision, NLP, and more. |
| 7 | Neural Networks and Applications | University Courses | Comprehensive introduction to neural networks, covering architectures, algorithms, and real-world applications in image recognition, NLP, and predictive modeling. |
| 8 | Deep Learning | University Courses | Comprehensive overview of deep learning, covering fundamental concepts, architectures, and applications. Taught by Prof. Mitesh M. Khapra from IIT Madras. |
| 9 | Intro to Deep Learning & Generative Models | University Courses | Comprehensive course on deep learning fundamentals, generative models like VAEs and GANs, with hands-on tutorials using TensorFlow and PyTorch. |
| 10 | Deep Learning | University Courses | Comprehensive deep learning course from UC Berkeley covering neural networks, optimization, and real-world applications. Hands-on coding and experienced instructors. |
| 11 | Deep Learning | University Courses | Comprehensive introduction to deep learning, covering fundamental concepts, advanced topics, and hands-on exercises using popular frameworks like TensorFlow and PyTorch. |
| 12 | Deep Learning for Computer Vision | University Courses | Comprehensive course on deep learning for computer vision, covering CNN, RNN, GAN, and state-of-the-art models for image and video analysis. |
| 13 | Deep Learning: CS 182 | University Courses | Dive into the fundamentals of deep learning with this in-depth course, covering neural networks, optimization, and real-world applications in computer vision, NLP, and more. |
| 14 | Deep Reinforcement Learning | University Courses | Explore the fundamentals of deep reinforcement learning, including algorithms, frameworks, and practical applications in areas like game playing, robotics, and resource management. |
| 15 | Natural Language Processing with Deep Learning | University Courses | Gain a thorough introduction to cutting-edge neural networks for natural language processing and the latest advancements in large language models. |
| 16 | Code-First Intro to Natural Language Processing | University Courses | Dive into natural language processing with this hands-on, practical NLP course from the renowned fast.ai team. Learn fundamental NLP concepts and techniques using popular open-source libraries. |
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