Hemant Patel's repositories
ansible-for-devops
Ansible for DevOps examples.
awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
awesome-data-engineering
A curated list of data engineering tools for software developers
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-modern-cpp
A collection of resources on modern C++
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
awesome-software-architecture
A curated list of awesome articles, videos, and other resources to learn and practice software architecture, patterns, and principles.
clean-code-typescript
Clean Code concepts adapted for TypeScript
cpp_starter_project
A template CMake project to get you started with C++ and tooling
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
developer-roadmap
Roadmap to becoming a developer in 2022
doom-private
My private module with tweaks for the Emacs Doom
eslint-config-get-off-my-lawn
A highly opinionated, sharable config of ESLint rules to produce beautiful, readable JavaScript.
gel-typography
A flexible code implementation of the GEL Typography Guidelines
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
modern-cpp-features
A cheatsheet of modern C++ language and library features.
moderncv
A modern curriculum vitae class for LaTeX
python-cheatsheet
Comprehensive Python Cheatsheet
python-patterns
A collection of design patterns/idioms in Python
Python-programming-exercises
100+ Python challenging programming exercises
research_public
Quantitative research and educational materials
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
SPX-Gamma-Exposure
Calculates estimate of market maker gamma exposure derived from S&P 500 index options
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stylelint-config-get-off-my-lawn
A highly opinionated, sharable config of stylelint rules to produce beautiful, readable CSS and Sass.
ta
Technical Analysis Library using Pandas and Numpy
TrailBlazers
Live Coded React Native App -- from my talk at React Live Amsterdam 2019
vim-galore
:mortar_board: All things Vim!
volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading