Ziheng Jiang
ZihengJiang
Research Interests: Machine Learning Systems
Languages
Top Repositories
LeetCode题解，151道题完整版
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
Intermediate Computational Graph Representation for Deep Learning Systems
verl: Volcano Engine Reinforcement Learning for LLMs
Repositories
27verl: Volcano Engine Reinforcement Learning for LLMs
Offline optimization of your disaggregated Dynamo graph
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
No description provided.
No description provided.
An Open Source Machine Learning Framework for Everyone
No description provided.
temp repo for prototyping, the effort will be upstreamed
LeetCode题解，151道题完整版
unofficial autotvm log distro
No description provided.
End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
The UW SAMPL group's website.
A lightweight parameter server interface
Intermediate Computational Graph Representation for Deep Learning Systems
A C++ non-blocking network library for multi-threaded server in Linux
An open-source C++ library developed and used at Facebook.
A common bricks library for building scalable and portable distributed machine learning.
Pure NumPy practice with third-party operator integration
the homepage http://dmlc.ml
Kernel Fusion and Runtime Compilation Based on NNVM
The repo to host all the web data including images for documents in dmlc projects.
Tutorial code on how to build your own Deep Learning System in 2k Lines
LLVM backend for Accelerate