Statistics for topic neural-networks
RepositoryStats tracks 579,129 Github repositories, of these 714 are tagged with the neural-networks topic. The most common primary language for repositories using this topic is Python (356). Other languages include: Jupyter Notebook (166), C++ (24), JavaScript (19), Julia (13), Rust (13), C (12)
Stargazers over time for topic neural-networks
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Implementation of medical image segmentation and deep learning framework with CNN and U-net
Automated Categorization: Utilizing the power of neural networks, this project offers an automated solution to categorize bank descriptions, reducing manual effort and enhancing efficiency while maint...
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Implementation of medical image segmentation and deep learning framework with CNN and U-net
Automated Categorization: Utilizing the power of neural networks, this project offers an automated solution to categorize bank descriptions, reducing manual effort and enhancing efficiency while maint...
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
A JAX research toolkit for building, editing, and visualizing neural networks.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
A JavaScript library like PyTorch, with GPU acceleration.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D...
Implementation of "MORPHEUS-1" from Prophetic AI and "The world’s first multi-modal generative ultrasonic transformer designed to induce and stabilize lucid dreams. "
GUI application for Anime4K shaders which allows to save upscaled video to disk