Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Netron | 26,068 | 4 | 70 | 15 days ago | 610 | December 09, 2023 | 27 | mit | JavaScript | |
Visualizer for neural network, deep learning and machine learning models | ||||||||||
Ncnn | 19,097 | 1 | a month ago | 26 | October 27, 2023 | 1,010 | other | C++ | ||
ncnn is a high-performance neural network inference framework optimized for the mobile platform | ||||||||||
Ai Learn | 8,256 | 4 months ago | 20 | |||||||
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 | ||||||||||
Deepo | 6,312 | a year ago | 1 | mit | Python | |||||
Setup and customize deep learning environment in seconds. | ||||||||||
Mmdnn | 5,780 | 3 | 7 months ago | 10 | July 24, 2020 | 333 | mit | Python | ||
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. | ||||||||||
Deep Learning In Production | 4,138 | 6 months ago | 9 | |||||||
In this repository, I will share some useful notes and references about deploying deep learning-based models in production. | ||||||||||
Polyaxon | 3,438 | 4 | 12 | 3 months ago | 418 | December 09, 2023 | 122 | apache-2.0 | ||
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle | ||||||||||
Deep Learning Model Convertor | 3,197 | 10 months ago | 2 | |||||||
The convertor/conversion of deep learning models for different deep learning frameworks/softwares. | ||||||||||
Pinto_model_zoo | 3,121 | 3 months ago | 11 | mit | Python | |||||
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML. | ||||||||||
Simple Faster Rcnn Pytorch | 3,107 | 3 years ago | 164 | other | Jupyter Notebook | |||||
A simplified implemention of Faster R-CNN that replicate performance from origin paper |