Abhishek Gorisaria's repositories
bare-necessities
Localising Essential in the current covid19 pandemic situation, solving problem like where we can find "daal,chawal,rice" since many of the shops are going out of stock
body-shaming-classification
Body Shaming Classification on Instagram Posts
Cash-Expense-Management-System
A Expense management system
distributed-systems-concepts
distributed systems concepts in concise manner
POSIX-Shell
A POSIX compatible shell with a subset of feature support of default shell.
gdrivefs
google drive mounted as a file system on linux evnironment
wiki-search-engine
A search engine made on wikipedia dump
abhishek0508
My Github Profile
abhishek0508.github.io
My personal website
adonis-vue-todo
Todo list app using adonis & vue
cosmic_python
learnings_from_cosmic_python
cp-algo
cp-algo
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
detecting-wine-quality
machine learning algorithm for detecting wine quality
DeviseGemPractise
Mini Project for Implementing Devise Gem in Ruby on Rails
grokking-system-design
Grokking system design
infomation_bottleneck_theory_deep_learning
Disapproving claims of information bottleneck theory on deep learning
iotplatform-ui
UI for IoT Platform
low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
microservices-basics-spring-boot
Basic architecture framework to create complete microservices using Spring boot and Spring cloud
modern-cpp-tricks
Modern CPP Tricks often useful in Coding Interviews and Competitive Programming
NewtonSchoolDemo
Tutorials
node-express-backend-api
made a simple backend api's using nodejs, express to understand basic concepts
Random-Reads
This repo contains tech reads that i stumble upon randomly
static-blogging
static blogging website to learn spring mvc, and other software engineering principles.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"