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awesome-deep-computation

A curated list of Deep Learning hardware, cycle/memory optimisation techniques

braindev-analysis

Deep learning analysis of gene expression in neurological animal models

deep-learning-in-bioinformatics-papers-reading-roadmap

Deep Learning in bioinformatics papers reading roadmap for anyone who are eager to applying this amazing tech in bioinformatics!

deep-music-autoencoder

The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework

deep-notes

notes from deep learning papers and courses

deepaudioclassification

Finding the genre of a song with Deep Learning

deeplearning-biology

A list of deep learning implementations in biology

dl4mir-dissertation

Humphrey, E. J. "An Exploration of Deep Learning in Music Informatics." (2015) New York University.

embedded-neural-network

collection of works on neural network based embedded applications

freedom

Source files for SiFive's Freedom platforms

hardware-neural-network

An embedded hardware accelerator for Machine Learning

hwacha

Microarchitecture implementation of the decoupled vector-fetch accelerator

hwacha-template

Template for projects using the Hwacha data-parallel accelerator

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

nyuziprocessor

GPGPU processor architecture

opensocfabric

OpenSoC Fabric - A Network-On-Chip Generator

representation-music

Deep Learning - Multi-Task Representation Learning using Shared Architecture for Deep Neural Networks

riscv

riscv-boom

Berkeley Out-of-Order Machine

riscv-tools

RISC-V Tools (GNU Toolchain, ISA Simulator, Tests)

rocc-template

rocket-chip

Rocket Chip Generator

rocket-rocc-examples

Example RoCC Software

spoon-knife

This repo is for demonstration purposes only.

tce

TTA-Based Co-Design Environment

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

ufldl-tutorial-python

Stanford Unsupervised Feature Learning and Deep Learning Tutorial (new version) with Python

ufldl_tutorial

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

vscale

Verilog version of Z-scale

xfiles-dana

Neural Networks should be Functional Primitives or: a neural network accelerator for RISC-V microprocessors