Mahesh's repositories
MunichBFOR
MuNic-BFor: Multi-Niche Bacterial Foraging (Evolutionary) Algorithm for Multimodal Dynamic Optimizations (intially developed for hyper-parameter optimizations of neural networks)
Evolutionary-Algorithm
Evolutionary Algorithm using Python
awesome-database-learning
A list of learning materials to understand databases internals
awesome-lockfree
A collection of resources on wait-free and lock-free programming
CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
capsule-networks
A Tensorflow implementation of Capsule Networks
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+.
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.
deap
Distributed Evolutionary Algorithms in Python
delta-enabled-crdts
Reference implementations of state-based CRDTs that offer deltas for all mutations.
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)
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
gam
Globally Addressable Memory management (efficient distributed memory management via RDMA and caching)
Hype
Evolutionary Optimizer for Dynamic Non-Convex Optimization
keras
Deep Learning for humans
P4PQ
Parser Engine of the P4PQ Data Plane Architecture
quartz
Quartz: A DRAM-based performance emulator for NVM
Seqlock
An implementation of Seqlock in C++11
sfc-orchestrator
The source code for an SFC Orchestrator
SwarmPackagePy
Library of swarm optimization algorithms.
synchrobench
A benchmark to compare synchronization techniques for multicore programming
tensorflow
Computation using data flow graphs for scalable machine learning