Statistics for topic neural-network
RepositoryStats tracks 594,994 Github repositories, of these 1,106 are tagged with the neural-network topic. The most common primary language for repositories using this topic is Python (502). Other languages include: Jupyter Notebook (213), C++ (95), JavaScript (36), Rust (24), C (23), C# (23), Go (16), HTML (14), Java (13)
Stargazers over time for topic neural-network
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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualizer for neural network, deep learning and machine learning models
Contains Solutions to Deep Learning Specailization - Coursera
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Contains Solutions to Deep Learning Specailization - Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
A deep learning framework built on an autograd engine with high level abstractions and low level control.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Visualizer for neural network, deep learning and machine learning models
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Contains Solutions to Deep Learning Specailization - Coursera
A deep learning framework built on an autograd engine with high level abstractions and low level control.
Digital Multi-Effect Pedal with Reverb, Delay, Tremolo, Looper, and Neural Networks for Amp Modeling
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualizer for neural network, deep learning and machine learning models
An Open Source Machine Learning Framework for Everyone
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
A deep learning framework built on an autograd engine with high level abstractions and low level control.
A Python library for Gene–environment interaction analysis via deep learning
Contains Solutions to Deep Learning Specailization - Coursera
NeuMeta transforms neural networks by allowing a single model to adapt on the fly to different sizes, generating the right weights when needed.
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
AI Productivity Tool - Free and open-source, enhancing user productivity while ensuring privacy and data security. It provides efficient and convenient AI solutions, including but not limited to: buil...
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Visualizer for neural network, deep learning and machine learning models
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
Tensor parallelism is all you need. Run LLMs on an AI cluster at home using any device. Distribute the workload, divide RAM usage, and increase inference speed.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
