jingyahuang Goto Github PK
Name: Jingya HUANG
Type: User
Company: Hugging Face
Bio: MLE @huggingface 🤗
Twitter: Jhuaplin
Location: Paris, FR
Name: Jingya HUANG
Type: User
Company: Hugging Face
Bio: MLE @huggingface 🤗
Twitter: Jhuaplin
Location: Paris, FR
A benchmark on accelerating BERT based on passes in TVM.
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
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Large Language Model Hosting Container
Benchmark for training within different backend.
A collection of pre-trained, state-of-the-art models in the ONNX format
Demos testing neuron (inf1 / inf2 / trn1)
Notebooks using the Hugging Face libraries 🤗
Open standard for machine learning interoperability
This repo gathers examples of ONNX graph surgery.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Examples for using ONNX Runtime for machine learning inferencing.
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
Demos testing caveat reported while using onnxruntime
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PyTorch implementation of recurrent batch normalization
A library for training and deploying machine learning models on Amazon SageMaker
Deezer source separation library including pretrained models.
Large Language Model Text Generation Inference
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Enabling PyTorch on XLA Devices (e.g. Google TPU)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.