Statistics for topic neural-networks
RepositoryStats tracks 641,719 Github repositories, of these 768 are tagged with the neural-networks topic. The most common primary language for repositories using this topic is Python (377). Other languages include: Jupyter Notebook (182), C++ (26), 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 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
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
A flexible, adaptive classification system for dynamic text classification
🧑🏫 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 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)
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
Hanasu is a human-like TTS model based on the multilingual Himitsu V1 transformer-based encoder and VITS architecture
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
Building a GPT-like LLM from scratch with PyTorch.
🧑🏫 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 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)
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
Hanasu is a human-like TTS model based on the multilingual Himitsu V1 transformer-based encoder and VITS architecture
Building a GPT-like LLM from scratch with PyTorch.
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
The Hailo PCIe driver is required for interacting with a Hailo device over the PCIe interface
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.
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...
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 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)
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.
Easy usage of Rockchip's NPUs found in RK3588 and similar chips
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)