Hitesh Gupta's repositories
airflow-rest-api-plugin
A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces
Algorithms
Collection of common algorithms
Aman-Barnwal-Leetcode-Solutions
This repo contains my Leetcode Solutions question-wise !
arx
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
azure-cli
Azure Command-Line Interface
carrot2
Carrot2: Text Clustering Algorithms and Applications
chakra-ui
⚡️ Simple, Modular & Accessible UI Components for your React Applications
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ecosys
TigerGraph Ecosystem
elyra
Elyra extends JupyterLab Notebooks with an AI centric approach.
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
fitcoderyoutube
Aim is to deep dive into computer programming concepts and explain them in a simplified manner.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
LLD
Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.
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.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
PowerShell
PowerShell for every system!
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
study
:fire: What I Studied
terraform-training-30-min
Terraform Basic Concepts training in 30 min