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ml_project

Malheur

models

Models and examples built with TensorFlow

models-comparison.pytorch

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

nachos

uses needle to extract hotpaths and then uses compiler alias analysis to find memory dependencies in hotpaths

neural-networks-on-silicon

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

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

nn_dataflow

Explore the energy-efficient dataflow scheduling for neural networks.

onnx

Open Neural Network Exchange

perfplot

tools to create performance and roofline plots from measured data

pin_tools

useful pin tools for memory tracing for a function, region of interest(roi), getting instruction count, memory addresses

pipecnn

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

practice_c

practice C/C++ leetcode

practice_python

random short examples in python for practice

pytorch-graph

Extract graph from pytorch code

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

react_practice

readme_embedded

rent-vs-buy

Math to calculate whether to rent or to buy a house

scala_practice

scala practice examples

scale-sim

scalpel

This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100 and LeNet-5 is included.

setupfiles

vimrc and other setup files

sw

NVDLA SW

tensorflow

Computation using data flow graphs for scalable machine learning

timeloop

tvm

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

vp

Virtual Platform for NVDLA