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Making large AI models cheaper, faster and more accessible
An analytical framework that models hardware dataflow of tensor applications on spatial architectures using the relation-centric notation.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A powerful and user-friendly binary analysis platform!
A retargetable MLIR-based machine learning compiler and runtime toolkit.
SparseTIR: Sparse Tensor Compiler for Deep Learning
A research library for pytorch-based neural network pruning, compression, and more.
This repo includes ChatGPT prompt curation to use ChatGPT better.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture
ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference