JingyaHuang

optimum

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

optimum-neuron

Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

accelerate-bert-with-tvm

A benchmark on accelerating BERT based on passes in TVM.

onnxruntime-inference-benchmark

JingyaHuang/onnxruntime-inference-benchmark

JingyaHuang/accelerate-bert-with-tvm

A benchmark on accelerating BERT based on passes in TVM.

JingyaHuang/aws-neuron-sdk

Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

JingyaHuang/deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

JingyaHuang/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

JingyaHuang/ML-training-benchmark

Benchmark for training within different backend.

JingyaHuang/models

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

JingyaHuang/notebooks

Notebooks using the Hugging Face libraries 🤗

JingyaHuang/onnx

Open standard for machine learning interoperability

JingyaHuang/ort-playground

Demos testing caveat reported while using onnxruntime

JingyaHuang/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

JingyaHuang/llm-hosting-container

Large Language Model Hosting Container

JingyaHuang/neuron-playground

Demos testing neuron (inf1 / inf2 / trn1)

JingyaHuang/onnx-tutorial

This repo gathers examples of ONNX graph surgery.

JingyaHuang/onnx.github.io

JingyaHuang/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

JingyaHuang/onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

JingyaHuang/optimum

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

JingyaHuang/optimum-neuron

Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

JingyaHuang/PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

JingyaHuang/recurrent-batch-normalization-pytorch

PyTorch implementation of recurrent batch normalization

JingyaHuang/sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

JingyaHuang/spleeter

Deezer source separation library including pretrained models.

JingyaHuang/text-generation-inference

Large Language Model Text Generation Inference

JingyaHuang/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

JingyaHuang/xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)