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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
dgburnette / hls4ml
Forked from fastmachinelearning/hls4mlMachine learning on FPGAs using HLS
Machine learning on FPGAs using HLS
You like pytorch? You like micrograd? You love tinygrad! ❤️
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
QKeras: a quantization deep learning library for Tensorflow Keras
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Machine learning on FPGAs using HLS
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, con…
ML Collections is a library of Python Collections designed for ML use cases.
Pymtl 3 (Mamba), an open-source Python-based hardware generation, simulation, and verification framework
A fast single-producer, single-consumer lock-free queue for C++
Live Hardware Development (LiveHD), a productive infrastructure for Synthesis and Simulation
SystemVerilog compiler and language services
Verible is a suite of SystemVerilog developer tools, including a parser, style-linter, formatter and language server
Firmware for the Gameduino 3X Dazzler FPGA
This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.
Parametric floating-point unit with support for standard RISC-V formats and operations as well as transprecision formats.