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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.

axi-bfm

AXI3 Bus Functional Models (Initiator & Target)

bitstream_mode3_p1204_3

Open source reference implementation of ITU-T P.1204.3

book-on-mos-stages

Book repository "Analysis and Design of Elementary MOS Amplifier Stages"

brevitas

Brevitas: quantization-aware training in PyTorch

calico

A visual-inertial calibration library designed for rapid problem construction and debugging.

circuit_training

constellation

A Chisel RTL generator for network-on-chip interconnects

context-cluster

[ICLR 2023 Oral] Image as Set of Points

dcfnet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

dcfnet-pytorch

Pytorch implementation for Decomposed Convolutional Filters Network

diagnostic_report

dramsys

DRAMSys4.0 a SystemC TLM-2.0 based DRAM simulator.

eventqueue

EQueue Dialect

fast-float4hls

Fast Floating Point Operators for High Level Synthesis

freerea

Official implementation of "FreeREA: Training-Free Evolution-based Architecture Search"

grl-image-restoration

gymnasium

A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)

hardware-zstd-compression-unit

hdl

HDL libraries and projects

hls4ml-catapult-framework

A framework for developing the hls4ml Catapult backend. The C++ part of the backend is included as well

hopfield-layers

Hopfield Networks is All You Need

jtag-axi-bridge

jtag to axi (lite) bridge, starting with pulp risc-v debug components

jtag_pulp

krakensdr_pr

Passive Radar Code for the KrakenSDR

ldrn

lecun1989-repro

from karpathy: Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

linux

Mirror of Linus Torvald's Kernel Tree

maxim

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API