Statistics for topic neural-network
RepositoryStats tracks 616,864 Github repositories, of these 1,122 are tagged with the neural-network topic. The most common primary language for repositories using this topic is Python (506). Other languages include: Jupyter Notebook (217), C++ (99), JavaScript (34), C (24), C# (24), Rust (24), Go (16), Java (14), HTML (13)
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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/
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Deep learning training framework for image super resolution and restoration.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Creating digital art using Neural Network based Style Transfer.
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/
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Deep learning training framework for image super resolution and restoration.
ddddocr rust 版本，ocr_api_server rust 版本，二进制版本，验证码识别，不依赖 opencv 库，跨平台运行，a simple OCR API server, very easy to deploy。
Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG
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/
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
One-click training of your own GPT. Training a GPT has never been easier. / 训练一个GPT原来可以这么简单？
A deep learning framework built on an autograd engine with high level abstractions and low level control.
Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.
Neural Network that is able to translate any sign language into text.
CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
AI Productivity Tool - Free and open source, improve user productivity, protect privacy and data security. Provide efficient and convenient AI solutions, built-in local exclusive ChatGPT, Phi, DeepSee...
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/
Visualizer for neural network, deep learning and machine learning models
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Omega-AI：基于java打造的深度学习框架，帮助你快速搭建神经网络，实现模型推理与训练，引擎支持自动求导，多线程与GPU运算，GPU支持CUDA，CUDNN。
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
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,...