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Comprehensive deep learning notes covering popular frameworks, books, and models for AI/ML developers.
A computer vision library for PyTorch that provides datasets, transforms, and pre-trained models.
Lightning fast neural graphics primitives for real-time 3D reconstruction, rendering, and more.
An open-source tool for recording screens and microphones, designed for developers building with AI tools.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
A Python library for image polygonal annotation with support for various shapes and flags.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
A C++ toolkit for building real-world machine learning and computer vision applications.
Face recognition using the FaceNet deep learning model, built with TensorFlow.
A comprehensive learning resource for data science and machine learning, covering a wide range of topics and tools.
Open-source simulator for autonomous driving research.
Open source implementation of CLIP, a contrastive learning model for multi-modal tasks like zero-shot classification.
Generates images from paintings using CycleGAN, a deep learning-based algorithm.
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
Advanced AI Explainability library for computer vision models built with PyTorch.
A MNIST-like fashion product database for computer vision and deep learning benchmarking.
Meshroom is a node-based visual programming toolbox for 3D reconstruction and photogrammetry, targeting vibe coders who work with AI tools.
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
Low-code framework for building custom LLMs, neural networks, and other AI models
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