The Official Roku Client for Jellyfin

Extensible, Efficient Quantum Algorithm Design for Humans.

Tapir extension to LLVM for optimizing Parallel Programs

Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

Machine Learning Pipelines for Kubeflow

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

A proof of concept of Intel VNNI instruction module.

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

Codes, experience and docs concerning TVM.

Extend cloud computing, data and service seamlessly to edge devices.

A domain specific language to express machine learning workloads.

Code samples showing how to use custom datatypes in TVM

Low-precision matrix multiplication

TVM integration into PyTorch

Actor framework for Rust.

Documentation on how to use the Rust Programming Language to develop firmware for bare metal (microcontroller) devices

Curated list of resources for Embedded and Low-level development in the Rust programming language

A MXNet Implementation for Drop an Octave

Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)

The fastai deep learning library

my simple tutorial for mxnet, a fast deep learning framework

Code for paper

common in-memory tensor structure

An extensible framework for program autotuning

ASAP group's public repository to share kernel optimization work

An open source library for deep learning end-to-end dialog systems and chatbots.