Pinned Repositories
libmf
onnx
Open standard for machine learning interoperability
onnxmltools
ONNXMLTools enables conversion of models to ONNX
ort
Accelerate PyTorch models with ONNX Runtime
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
fast-ffm
An Improved Algorithm for Training Field-aware Factorization Machines
libmf
machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
machinelearning-testdata
onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports CoreML and SciKit
wschin's Repositories
wschin/fast-ffm
An Improved Algorithm for Training Field-aware Factorization Machines
wschin/onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports CoreML and SciKit
wschin/libmf
wschin/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
wschin/machinelearning-testdata
wschin/manylinux
Python wheels that work on any linux (almost)
wschin/onnx
Open Neural Network Exchange
wschin/onnx-script
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.
wschin/onnxruntime
ONNX Runtime: cross-platform, high performance scoring engine for ML models
wschin/ort
Accelerate PyTorch models with ONNX Runtime
wschin/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
wschin/pytorch_compiler_tutorial
Codebase associated with the PyTorch compiler tutorial
wschin/samples
Sample code and snippets used in the .NET documentation
wschin/torchdynamo
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
wschin/transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
wschin/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
wschin/wheel-builder
Utils for building and publishing ONNX wheels