Stars
A POC platform and example for an experimental ROCm runtime release for the AMD AI Engine
A stand-alone implementation of several NumPy dtype extensions used in machine learning.
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
PyTorch emulation library for Microscaling (MX)-compatible data formats < 8000 /p>
Reference implementations of MLPerf™ inference benchmarks
Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
A personal experimental C++ Syntax 2 -> Syntax 1 compiler
ARIES: An Agile MLIR-Based Compilation Flow for Reconfigurable Devices with AI Engines (FPGA 2025 Best Paper Nominee)
A mathematical keypad for students and professionals
The Riallto Open Source Project from AMD
An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。
deepware-ai / braggHLS
Forked from makslevental/openhlsPyTorch model to RTL flow for low latency inference
vHeat: Building Vision Models upon Heat Conduction
SAMO: Streaming Architecture Mapping Optimisation
An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
List of papers related to neural network quantization in recent AI conferences and journals.
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.