Pinned Repositories
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
6.824-golabs-2020
MIT 6.824 2020
action_cable_chat_app
The chat app for Learn Enough Action Cable to Be Dangerous
ADL_RL
Advanced Deep Learning and Reinforcement Learning 2018 Assignments
algodeck
An Open-Source Collection of +200 Algorithmic Flash Cards to Help you Preparing your Algorithm & Data Structure Interview 💯
Algorithm-DataStructures
Implementations of Algorithms and Data Structures
automatic-repeat-request-protocols
CSC 573 - Internet Protocols
library_new
simplelb
Simple Load Balancer in GO
yash97's Repositories
yash97/6.824-golabs-2020
MIT 6.824 2020
yash97/action_cable_chat_app
The chat app for Learn Enough Action Cable to Be Dangerous
yash97/algodeck
An Open-Source Collection of +200 Algorithmic Flash Cards to Help you Preparing your Algorithm & Data Structure Interview 💯
yash97/automatic-repeat-request-protocols
CSC 573 - Internet Protocols
yash97/library_new
yash97/simplelb
Simple Load Balancer in GO
yash97/awesome-distributed-systems
A curated list to learn about distributed systems
yash97/Competitve-programming
problems are solved in c++
yash97/design_patterns
yash97/devfolio
A modern and production-ready personal portfolio + blog template built with GatsbyJs and TailwindCSS
yash97/enhancements
Enhancements tracking repo for Kubernetes
yash97/event-Client-and-Pod-Hooks
yash97/expertiza
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
yash97/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
yash97/fluent-operator
Operate Fluent Bit and Fluentd in the Kubernetes way - Previously known as FluentBit Operator
yash97/go-iperf
A Go based wrapper around iperf3
yash97/InterviewQuestions
The Repo to store the interview questions and my solutions
yash97/k8sgpt
Giving Kubernetes Superpowers to everyone
yash97/kubernetes
Production-Grade Container Scheduling and Management
yash97/learn-go-with-tests
Learn Go with test-driven development
yash97/library
yash97/NCSU_CSC-510_SE_HW2_GROUP-4
yash97/pandas_exercises
Practice your pandas skills!
yash97/RailsChatApp
yash97/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
yash97/ruby-blog
yash97/rust-clippy
A bunch of lints to catch common mistakes and improve your Rust code
yash97/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
yash97/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
yash97/test1