Statistics for topic neural-networks
RepositoryStats tracks 630,038 Github repositories, of these 757 are tagged with the neural-networks topic. The most common primary language for repositories using this topic is Python (372). Other languages include: Jupyter Notebook (181), C++ (25), JavaScript (19), C (13), Julia (13), Rust (13)
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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...
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
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
🧑🏫 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.
A flexible, adaptive classification system for dynamic text classification
Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
🧑🏫 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 video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A flexible, adaptive classification system for dynamic text classification
Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, Russian, Belarusian and Yoruba.
Code and Content for Manning Publication on Graph Neural Networks
Research project: create a chess engine using Deep Reinforcement Learning
A JAX research toolkit for building, editing, and visualizing neural networks.
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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 machine learning-based video super resolution and frame interpolation 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
A JavaScript library like PyTorch, with GPU acceleration.
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.
From scratch implementation of a vision language model in pure PyTorch
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)