Chun-Wei Chen

Open standard for machine learning interoperability

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ONNX Runtime: cross-platform, high performance scoring engine for ML models

OLive, meaning ONNX go live, integrates model conversion, optimization, correctness test and performance tuning into a single pipeline and outputs a production ready ONNX model with ONNX Runtime configurations (execution provider + optimization options)

The Triton backend for the ONNX Runtime.

Drone-view building identification by cross-view Triplet deep neural network and relative spatial estimation

Experiment on AlexNet (Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012.)

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Triplet with AlexNet

Convert scikit-learn models and pipelines to ONNX

Common utilities for ONNX converters

ONNXMLTools enables conversion of models to ONNX

Seamless operability between C++11 and Python

Intro

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Efficient in-memory representation for ONNX, in Python

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

Machine Learning Agility (MLAgility) benchmark and benchmarking tools

The fundamental package for scientific computing with Python.

Pythonic framework for constructing ONNX graphs.

ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python. ⚠️ ONNX Script is in very early and active development and is not ready for production.

GitHub App that enforces the Developer Certificate of Origin (DCO) on Pull Requests

Accelerate PyTorch models with ONNX Runtime

Dockerfiles and scripts for ONNX container images

A collection of pre-trained, state-of-the-art models in the ONNX format

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Tutorials for creating and using ONNX models

The Runner for GitHub Actions :rocket:

Scoreboard for ONNX Backend Compatibility

A conda-smithy repository for onnxruntime.

Create UIs for prototyping your machine learning model in 3 minutes

Tensorflow Backend for ONNX

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

Optional static typing for Python

Actively maintained ONNX Optimizer

Datasets, Transforms and Models specific to Computer Vision

Repository for ONNX SIG artifacts

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Examples for using ONNX Runtime for model training.

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

R Interface to Open Neural Network Exchange (ONNX)

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

ONNX.js: run ONNX models using JavaScript

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Python wheels that work on any linux (almost)

Unofficial Documentation of Robinhood Trade's Private API

Protocol Buffers - Google's data interchange format

Drone-view building identification

Visualizer for neural network, deep learning, and machine learning models

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

An Open Source Machine Learning Framework for Everyone

Convert TensorFlow models to ONNX

Utils for building and publishing ONNX wheels

A conda-smithy repository for onnx.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

$ git remote <graduation> yearbook

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Implement data structure "Trie" for faster text search in mail data

Demo webiste for My Fashion Wall: user-based fashion news feed

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