High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS

(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Shuhai is a benchmarking-memory tool that allows FPGA programmers to demystify all the underlying details of memories, e.g., HBM and DDR4, on a Xilinx FPGA [FCCM 20]

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

A collection of pre-trained, state-of-the-art models in the ONNX format

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing

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.

Dataflow compiler for QNN inference on FPGAs

Windows Calculator: A simple yet powerful calculator that ships with Windows

A Spatial Accelerator Generation Framework for Tensor Algebra.

CIRCT-based HLS compilation flows, debugging, and cosimulation tools.

A collection of gcc tips. 100 maybe just mean many here.

Flexible Intermediate Representation for RTL

A hardware synthesis framework with multi-level paradigm

PyTorch model to RTL flow for low latency inference

Circuit IR Compilers and Tools

A scalable High-Level Synthesis framework on MLIR

An out-of-tree MLIR dialect template.

JPEG Encoder Verilog

PandA-bambu public repository

Deep Reinforcement Learning

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing