rajumachupalli Goto Github PK
Name: Raju Machupalli
Type: User
Company: University of Alberta
Name: Raju Machupalli
Type: User
Company: University of Alberta
Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
Aiming at an AI Chip based on RISC-V and NVDLA.
This repo contains the materials gathered as Hackathon progress.
Memory consumption and FLOP count estimates for convnets
This is the CORE-V MCU DevKit project, hosting the open-source artifacts for the CORE-V MCU Development Kit.
Getting Started with Deep learning resources
Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
Machine learning in FPGAs using HLS
This repo is to extract contents from the input image.
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
The project is a part of AI generated chip design contest. Designing an Iterative MAC based DNN accelerator for inference which can also train the models using same resources.
The official Linux kernel from Xilinx
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Paper Collection for Machine Learning Hardware
Twin SOC based on carvel and rocket-chip. a project from MPW-5 shuttels
This is a collection of works on neural networks and neural accelerators.
As a part of open lane project training from vsdworkshop
It is a part of workshop organized by NINE labs at IITG for students to understand the Open Roads Flow Script (ORFS)s.
Summaries of machine learning papers
TCL workshop: Learning TCL scripting through designing an UI for synthesis and timing analysis using Yosys and OpenTimer tools
Verilog basics for quick review
Gain an understanding of the fundamentals of Very Large-Scale Integration (VLSI), including how the theories and concepts can be applied in the design of simple logic circuits and in the physical implementation of a simplified microprocessor
This repository contains all the information needed to run RTL2GDSII flow using openlane flow. Apart from that, it also contain procedures on how to create a custom LEF file and plugging it into an openlane flow.
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.