hakai-shin Goto Github PK

followers: 7.0 following: 21.0 repos: 120.0 gists: 1.0

Name: Abdul Wazeed

Type: User

Company: Onnet Systems Pvt Ltd.

Bio: Aspiring to be efficient software developer.

Location: Bangalore

Blog: https://www.linkedin.com/in/abdulwazeed/

Hi there 👋

My name is Abdul Wazeed

I am a software developer. I learn and develop stuff for a better future.

reach me at

🔭 I’m currently working at Onnet systems pvt ltd
🌱 I’m currently learning about streaming technologies.
😄 Pronouns: He/Him
⚡ Fun fact: I forged The One Ring in the fires of Mount Doom.

Abdul Wazeed's Projects

dice

An extremely simple Golang-based in-memory KV store that speaks the Redis dialect.

eastl

EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.

emscripten

Emscripten: An LLVM-to-WebAssembly Compiler

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

ffmpeg-libav-tutorial

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

freecache

A cache library for Go with zero GC overhead.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

There is tonnes of hate speech being posted everyday on social media by different users. Facebook runs its hate speech detection algorithm and actively removes content which is hateful. The objective is to build a machine learning model that classifies a piece of text as hate speech or not. An example of a hateful sentence is “ I don’t know how much more I can take! 45 is a compulsive liar! #Trump30Hours #TrumpIsATraitor ” . The problem statement is that we are given a piece of text, which we need to classify into hate speech or not hate speech. It is a binary classification problem with labels “HOF”(0) denoting hate speech and “NOT”(1) denoting non hateful sentences. Numbers in brackets denote the class label.

hawktracer

HawkTracer is a highly portable, low-overhead, configurable profiling tool built in Amazon Video for getting performance metrics from low-end devices.

heavy-hitter-problem

Design system to get top k elements given a time span of 1 min/1 hr/1 day/1 week

high-performance-server-design

Jeff Darcy's High performance server design

household_power_consumption_forecasting

perform regression over the dataset of global active power values. You are supposed to take the active power values in the past one hour and predict the next active power value.

how-to-contribute-to-open-source

A guide to contributing to open source

image_super_resolution_using_autoencoders

Converted low resolution images to high resolution images using Autoencoders.

incubator-pegasus

Apache Pegasus - A horizontally scalable, strongly consistent and high-performance key-value store

jobscheduler

Jon scheduler

knvprotoengine

KNV(Key-N-Value) is a very fast protocol engine for manipulating protocol data without knowing the detail of its contents. KNV serves for 3 main purposes: 1, As a fast protocol engine, supporting 1M+ processes per second; 2, As a schema-free protocol inspecter/modifier for general-purpose network server; 3, As a protocol and data storage engine for general data storage server.

hakai-shin Goto Github PK

Hi there 👋

Abdul Wazeed's Projects

Recommend Projects

Recommend Topics

Recommend Org