dananjayamahesh
Hi. I work on computer architecture, distributed systems and consistency models.
Edinburgh, United Kingdom
Pinned Repositories
consensusinside
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Evolutionary-Algorithm
Evolutionary Algorithm using Python
GSOC2016
gsoc wso2 ml_spark
iMash
salesforce hackathon
lrp
Lazy Release Persistency
LRP-HOP
One-sided Persist Barriers for Persist Buffers with HOP (Hand-Off Persistency)
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
MunichBFOR
MuNic-BFor: Multi-Niche Bacterial Foraging (Evolutionary) Algorithm for Multimodal Dynamic Optimizations (intially developed for hyper-parameter optimizations of neural networks)
primesim
A parallel and distributed simulator for thousand-core chips
dananjayamahesh's Repositories
dananjayamahesh/MunichBFOR
MuNic-BFor: Multi-Niche Bacterial Foraging (Evolutionary) Algorithm for Multimodal Dynamic Optimizations (intially developed for hyper-parameter optimizations of neural networks)
dananjayamahesh/Evolutionary-Algorithm
Evolutionary Algorithm using Python
dananjayamahesh/lrp
Lazy Release Persistency
dananjayamahesh/LRP-HOP
One-sided Persist Barriers for Persist Buffers with HOP (Hand-Off Persistency)
dananjayamahesh/primesim
A parallel and distributed simulator for thousand-core chips
dananjayamahesh/awesome-database-learning
A list of learning materials to understand databases internals
dananjayamahesh/awesome-lockfree
A collection of resources on wait-free and lock-free programming
dananjayamahesh/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
dananjayamahesh/capsule-networks
A Tensorflow implementation of Capsule Networks
dananjayamahesh/cpp-concurrency-ck
Concurrency primitives, safe memory reclamation mechanisms and non-blocking (including lock-free) data structures designed to aid in the research, design and implementation of high performance concurrent systems developed in C99+.
dananjayamahesh/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
dananjayamahesh/cpplinks
A categorized list of C++ resources.
dananjayamahesh/deap
Distributed Evolutionary Algorithms in Python
dananjayamahesh/delta-enabled-crdts
Reference implementations of state-based CRDTs that offer deltas for all mutations.
dananjayamahesh/Efficient-Lock-Free-Durable-Sets
Code for "Yoav Zuriel, Michal Friedman, Gali Sheffi, Nachshon Cohen, and Erez Petrank. Efficient Lock-Free Durable Sets, OOPSLA 2019" (to be published)
dananjayamahesh/free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
dananjayamahesh/gam
Globally Addressable Memory management (efficient distributed memory management via RDMA and caching)
dananjayamahesh/Hype
Evolutionary Optimizer for Dynamic Non-Convex Optimization
dananjayamahesh/imagenet
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
dananjayamahesh/keras
Deep Learning for humans
dananjayamahesh/ML_course
EPFL Machine Learning Course, Fall 2017
dananjayamahesh/NVmain
NVMain - An Architectural Level Main Memory Simulator for Emerging Non-Volatile Memories
dananjayamahesh/P4PQ
Parser Engine of the P4PQ Data Plane Architecture
dananjayamahesh/PBench
SynchroBench benchmark
dananjayamahesh/quartz
Quartz: A DRAM-based performance emulator for NVM
dananjayamahesh/Seqlock
An implementation of Seqlock in C++11
dananjayamahesh/sfc-orchestrator
The source code for an SFC Orchestrator
dananjayamahesh/SwarmPackagePy
Library of swarm optimization algorithms.
dananjayamahesh/synchrobench
A benchmark to compare synchronization techniques for multicore programming
dananjayamahesh/tensorflow
Computation using data flow graphs for scalable machine learning