Statistics for topic neural-networks
RepositoryStats tracks 595,858 Github repositories, of these 728 are tagged with the neural-networks topic. The most common primary language for repositories using this topic is Python (362). Other languages include: Jupyter Notebook (168), C++ (24), JavaScript (19), Julia (13), Rust (13), C (12)
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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...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Contains Solutions to Deep Learning Specailization - Coursera
Contains Solutions to Deep Learning Specailization - Coursera
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
From scratch implementation of a vision language model in pure PyTorch
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
Contains Solutions to Deep Learning Specailization - Coursera
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
Deep reinforcement learning without experience replay, target networks, or batch updates.
🧑🏫 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 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 video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Deep reinforcement learning without experience replay, target networks, or batch updates.
Contains Solutions to Deep Learning Specailization - Coursera
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
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...
🧑🏫 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 video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
A JavaScript library like PyTorch, with GPU acceleration.
The nnsight package enables interpreting and manipulating the internals of deep learned models.