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The Wayback Machine - https://web.archive.org/web/20200831065328/https://github.com/topics/onnx
Here are
203 public repositories
matching this topic...
Visualizer for neural network, deep learning and machine learning models
Updated
Aug 30, 2020
JavaScript
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Set up deep learning environment in a single command line.
Updated
Aug 29, 2020
Python
YOLOv3 in PyTorch > ONNX > CoreML > iOS
Updated
Aug 29, 2020
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.
Updated
Aug 14, 2020
Python
YOLOv5 in PyTorch > ONNX > CoreML > iOS
Updated
Aug 30, 2020
Python
Updated
Jul 23, 2020
Jupyter Notebook
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A collection of pre-trained, state-of-the-art models in the ONNX format
Updated
Aug 13, 2020
Jupyter Notebook
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Updated
Aug 31, 2020
TypeScript
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Updated
Aug 17, 2020
Python
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Updated
Aug 31, 2020
Python
Tengine is a lite, high performance, modular inference engine for embedded device
nGraph - open source C++ library, compiler and runtime for Deep Learning
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Updated
Aug 31, 2020
Python
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
Updated
Aug 26, 2020
Jupyter Notebook
ONNX-TensorRT: TensorRT backend for ONNX
Convert TensorFlow models to ONNX
Updated
Aug 28, 2020
Jupyter Notebook
Translate - a PyTorch Language Library
Updated
Aug 17, 2020
Python
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Updated
Aug 31, 2020
Rust
Samples and Tools for Windows ML.
PyTorch to Keras model convertor
Updated
May 14, 2020
Python
Machine learning framework for both deep learning and traditional algorithms
PyTorch implementation of the YOLO (You Only Look Once) v2
Updated
May 12, 2018
Python
ONNXMLTools enables conversion of models to ONNX
Updated
Aug 21, 2020
Python
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100FPS landmark inference on CPU.
Updated
Aug 29, 2020
Python
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Spawned off https://github.com/onnx/onnx/pull/2772/files/7ab93cc1b635eada330dae7424d4ff7e8c22c295#r440422245, opening issue to track resolution