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ZZK's Projects

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

appy icon appy

APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to OpenMP, and automatically compiles the annotated code to GPU kernels.

attorch icon attorch

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

auto-round icon auto-round

SOTA Weight-only Quantization Algorithm for LLMs

bitblas icon bitblas

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

bytetransformer icon bytetransformer

optimized BERT transformer inference on NVIDIA GPU.

cachelib icon cachelib

Pluggable in-process caching engine to build and scale high performance services

cccl icon cccl

CUDA C++ Core Libraries

cuassembler icon cuassembler

An unofficial cuda assembler, for all generations of SASS, hopefully :)

cuda-samples icon cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda-training-series icon cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (

cudnn-frontend icon cudnn-frontend

cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it

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