alexmontgomerie Goto Github PK
Name: Alexander Montgomerie-Corcoran
Type: User
Company: Imperial College London
Bio: PhD Student at Imperial College London
Twitter: AlexMontgomerie
Name: Alexander Montgomerie-Corcoran
Type: User
Company: Imperial College London
Bio: PhD Student at Imperial College London
Twitter: AlexMontgomerie
source code to generate .nec files for helical wire antennas
An introductory guide to Bluespec (BSV)
project files
An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model
A landing page outlining Collabo's goals and features
DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators
Fast and accurate DRAM power and energy estimation tool
Scripts to obtain bit-level switching activity of CNNs. Requires Caffe.
Embedded systems course at Imperial College London 2018
Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Lukas Cavigelli, Georg Rutishauser, Luca Benini.
Dataflow compiler for QNN inference on FPGAs
Performance and resource models for fpgaConvNet: a Streaming-Architecture-based CNN Accelerator.
Optimiser for mapping convolutional neural network models to FPGA platforms.
A collection of tutorials for the fpgaConvNet framework.
The work done at the Intelligent Digital Systems Lab at Imperial College London aims to address this demand with fpgaConvNet: a toolflow for designing Convolutional Neural Network (CNN) accelerators for FPGAs with state-of-the-art performance and efficiency.
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow.
A Chisel implementation of Huffman coding for a static code table
Analysing power consumption of the memory subsystem for machine learning applications
My online portfolio
A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.