tsgts's repositories
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!
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-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
Hardware-Neural-Network
An embedded hardware accelerator for Machine Learning
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-boom
Berkeley Out-of-Order Machine
riscv-tools
RISC-V Tools (GNU Toolchain, ISA Simulator, Tests)
rocket-chip
Rocket Chip Generator
rocket-rocc-examples
Example RoCC Software
Spoon-Knife
This repo is for demonstration purposes only.
ufldl-tutorial-python
Stanford Unsupervised Feature Learning and Deep Learning Tutorial (new version) with Python
xfiles-dana
Neural Networks should be Functional Primitives or: a neural network accelerator for RISC-V microprocessors