ichbingautam
You have to learn the rules of the game. And then you have to play better than anyone else.
Engagedly Inc.Bengaluru, India
Pinned Repositories
3D-Object-Recognition-for-AutomaticBilling-System-in-Supermakets
Book-Store_REST-API
keras
Deep Learning for humans
MERN-Stack-app
ml-on-gcp
Machine Learning on Google Cloud Platform
papers-we-love
Papers from the computer science community to read and discuss.
tensorflow
An Open Source Machine Learning Framework for Everyone
You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
ichbingautam's Repositories
ichbingautam/activerecord-import
A library for bulk insertion of data into your database using ActiveRecord.
ichbingautam/awesome-graphql
Awesome list of GraphQL & Relay
ichbingautam/awesome-scala
A community driven list of useful Scala libraries, frameworks and software.
ichbingautam/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
ichbingautam/Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
ichbingautam/Data-Structure-Algorithms-LLD-HLD
ichbingautam/docsify
🃏 A magical documentation site generator.
ichbingautam/FAANG
Competitive programming questions.
ichbingautam/free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
ichbingautam/java-design-patterns
Design patterns implemented in Java
ichbingautam/Javascript-1
A repository for All algorithms implemented in Javascript (for educational purposes only)
ichbingautam/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
ichbingautam/javascript_playground
Javascript playground tutorials
ichbingautam/jest
Delightful JavaScript Testing.
ichbingautam/Jupyter
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
ichbingautam/ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
ichbingautam/nodejs-integration-tests-best-practices
✅ Master the art of the most powerful testing technique for Node.js: Component tests. Including super-comprehensive best practices list and an example app (August 2021)
ichbingautam/OpenAPI-Specification
The OpenAPI Specification Repository
ichbingautam/project-based-learning
Curated list of project-based tutorials
ichbingautam/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
ichbingautam/qiskit-machine-learning
Quantum Machine Learning
ichbingautam/qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
ichbingautam/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
ichbingautam/RediSearch
A query and indexing engine for Redis, providing secondary indexing, full-text search, and aggregations.
ichbingautam/redisearch-go
Go client for RediSearch
ichbingautam/Ruby-1
All algorithms implemented in Ruby
ichbingautam/scala
Scala 2 compiler and standard library. For bugs, see scala/bug
ichbingautam/Stim
A fast stabilizer circuit simulator
ichbingautam/tutorial-go-fiber-rabbitmq
📖 Tutorial: Working with RabbitMQ in Golang by examples.
ichbingautam/vscode-extension-samples
Sample code illustrating the VS Code extension API.