rachmad's repositories
pca-hybrid
Codes for PCA-driven Hybrid networks
onnx
Open Neural Network Exchange
gemmini
Berkeley's Systolic Array Generator
NeuroSLAM
NeuroSLAM: A Brain inspired SLAM System for 3D Environments
HeartAttack
Detection of people with posible infact, using Convolutional Neural Networks, in color images.
CNNs-on-embedded-systems
CNN classification and profiling on high performance edge systems
pytorx
Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
sym-STDP-SNN
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
snn-minibatch
Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
hw
RTL, Cmodel, and testbench for NVDLA
energymon
A portable interface for energy monitoring utilities
Therminator
Therminator: Thermal Simulator for Portable Devices
mcnExtraLayers
Extra layers and utilities for matconvnet
bindsnet_experiments
Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
spatial-multiverse
Provides Spatial with front-end support from popular machine learning frameworks
DREAMPlace
Deep learning toolkit-enabled VLSI placement
CROW
Source code for the architectural and circuit-level simulators used for modeling the CROW (Copy-ROW DRAM) mechanism proposed in our ISCA 2019 paper "CROW: A Low-Cost Substrate for Improving DRAM Performance, Energy Efficiency, and Reliability". Paper is at: https://people.inf.ethz.ch/omutlu/pub/CROW-DRAM-substrate-for-performance-energy-reliability_isca19.pdf.
enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
CSE237D-PYNQ-SNN-Accelerator
Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board
deeplearning-models
A collection of various deep learning architectures, models, and tips
EyerissF
An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"
EndToEndIncrementalLearning
End-to-End Incremental Learning
gem5-X
The gem5-X open source framework (based on the gem5 simulator)
MAERI-1
MAERI: A DNN accelerator with reconfigurable interconnects to support flexible dataflow (http://synergy.ece.gatech.edu/tools/maeri/)